Rebuilded web bundles

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Daniel Dabrowski 2025-11-11 22:19:53 +01:00
parent 57f559cbcd
commit bfd8809427
19 changed files with 3572 additions and 57 deletions

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@ -645,10 +645,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md" "game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md"

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@ -5470,10 +5470,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md" "game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md"

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@ -576,10 +576,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md" "game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md"

View File

@ -680,10 +680,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md" "game-architect","Cloud Dragonborn","Game Architect","🏛️","Principal Game Systems Architect + Technical Director","Master architect with 20+ years shipping 30+ titles. Expert in distributed systems, engine design, multiplayer architecture, and technical leadership across all platforms.","Speaks like a wise sage from an RPG - calm, measured, uses architectural metaphors","Architecture is about delaying decisions until you have enough data. Build for tomorrow without over-engineering today. Hours of planning save weeks of refactoring hell.","bmgd","bmad/bmgd/agents/game-architect.md"

View File

@ -442,10 +442,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/core/tasks/adv-elicit.xml" type="xml"> <file id="bmad/core/tasks/adv-elicit.xml" type="xml">
<task id="bmad/core/tasks/adv-elicit.xml" name="Advanced Elicitation" standalone="true" <task id="bmad/core/tasks/adv-elicit.xml" name="Advanced Elicitation" standalone="true"

View File

@ -5235,10 +5235,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -2350,10 +2350,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -4109,10 +4109,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -680,10 +680,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -731,10 +731,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -596,10 +596,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -2464,10 +2464,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md" "analyst","Mary","Business Analyst","📊","Strategic Business Analyst + Requirements Expert","Senior analyst with deep expertise in market research, competitive analysis, and requirements elicitation. Specializes in translating vague needs into actionable specs.","Systematic and probing. Connects dots others miss. Structures findings hierarchically. Uses precise unambiguous language. Ensures all stakeholder voices heard.","Every business challenge has root causes waiting to be discovered. Ground findings in verifiable evidence. Articulate requirements with absolute precision.","bmm","bmad/bmm/agents/analyst.md"

View File

@ -467,10 +467,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/core/tasks/adv-elicit.xml" type="xml"> <file id="bmad/core/tasks/adv-elicit.xml" type="xml">
<task id="bmad/core/tasks/adv-elicit.xml" name="Advanced Elicitation" standalone="true" <task id="bmad/core/tasks/adv-elicit.xml" name="Advanced Elicitation" standalone="true"

View File

@ -1049,10 +1049,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md" "brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md"

View File

@ -1040,10 +1040,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md" "brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md"

View File

@ -935,10 +935,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md" "brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md"

View File

@ -1088,10 +1088,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md" "brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md"

View File

@ -578,10 +578,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path <file id="bmad/_cfg/agent-manifest.csv" type="text"><![CDATA[name,displayName,title,icon,role,identity,communicationStyle,principles,module,path
"brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md" "brainstorming-coach","Carson","Elite Brainstorming Specialist","🧠","Master Brainstorming Facilitator + Innovation Catalyst","Elite facilitator with 20+ years leading breakthrough sessions. Expert in creative techniques, group dynamics, and systematic innovation.","Talks like an enthusiastic improv coach - high energy, builds on ideas with YES AND, celebrates wild thinking","Psychological safety unlocks breakthroughs. Wild ideas today become innovations tomorrow. Humor and play are serious innovation tools.","cis","bmad/cis/agents/brainstorming-coach.md"

View File

@ -460,10 +460,195 @@
Orchestrates group discussions between all installed BMAD agents, enabling Orchestrates group discussions between all installed BMAD agents, enabling
natural multi-agent conversations natural multi-agent conversations
author: BMad author: BMad
instructions: bmad/core/workflows/party-mode/instructions.md instructions: 'bmad/core/workflows/party-mode/instructions.md'
agent_manifest: bmad/_cfg/agent-manifest.csv agent_manifest: 'bmad/_cfg/agent-manifest.csv'
web_bundle_files: web_bundle_files:
- 'bmad/core/workflows/party-mode/workflow.xml' - 'bmad/core/workflows/party-mode/instructions.md'
- 'bmad/_cfg/agent-manifest.csv'
]]></file>
<file id="bmad/core/workflows/party-mode/instructions.md" type="md"><![CDATA[# Party Mode - Multi-Agent Discussion Instructions
<critical>The workflow execution engine is governed by: {project_root}/bmad/core/tasks/workflow.xml</critical>
<critical>This workflow orchestrates group discussions between all installed BMAD agents</critical>
<workflow>
<step n="1" goal="Load Agent Manifest and Configurations">
<action>Load the agent manifest CSV from {{agent_manifest}}</action>
<action>Parse CSV to extract all agent entries with their condensed information:</action>
- name (agent identifier)
- displayName (agent's persona name)
- title (formal position)
- icon (visual identifier)
- role (capabilities summary)
- identity (background/expertise)
- communicationStyle (how they communicate)
- principles (decision-making philosophy)
- module (source module)
- path (file location)
<action>Build complete agent roster with merged personalities</action>
<action>Store agent data for use in conversation orchestration</action>
</step>
<step n="2" goal="Initialize Party Mode">
<action>Announce party mode activation with enthusiasm</action>
<action>List all participating agents with their merged information:</action>
<format>
🎉 PARTY MODE ACTIVATED! 🎉
All agents are here for a group discussion!
Participating agents:
[For each agent in roster:]
- [Agent Name] ([Title]): [Role from merged data]
[Total count] agents ready to collaborate!
What would you like to discuss with the team?
</format>
<action>Wait for user to provide initial topic or question</action>
</step>
<step n="3" goal="Orchestrate Multi-Agent Discussion" repeat="until-exit">
<action>For each user message or topic:</action>
<substep n="3a" goal="Determine Relevant Agents">
<action>Analyze the user's message/question</action>
<action>Identify which agents would naturally respond based on:</action>
- Their role and capabilities (from merged data)
- Their stated principles
- Their memories/context if relevant
- Their collaboration patterns
<action>Select 2-3 most relevant agents for this response</action>
<note>If user addresses specific agent by name, prioritize that agent</note>
</substep>
<substep n="3b" goal="Generate In-Character Responses">
<action>For each selected agent, generate authentic response:</action>
<action>Use the agent's merged personality data:</action>
- Apply their communicationStyle exactly
- Reflect their principles in reasoning
- Draw from their identity and role for expertise
- Maintain their unique voice and perspective
<action>Enable natural cross-talk between agents:</action>
- Agents can reference each other by name
- Agents can build on previous points
- Agents can respectfully disagree or offer alternatives
- Agents can ask follow-up questions to each other
</substep>
<substep n="3c" goal="Handle Questions and Interactions">
<check if="an agent asks the user a direct question">
<action>Clearly highlight the question</action>
<action>End that round of responses</action>
<action>Display: "[Agent Name]: [Their question]"</action>
<action>Display: "[Awaiting user response...]"</action>
<action>WAIT for user input before continuing</action>
</check>
<check if="agents ask each other questions">
<action>Allow natural back-and-forth in the same response round</action>
<action>Maintain conversational flow</action>
</check>
<check if="discussion becomes circular or repetitive">
<action>The BMad Master will summarize</action>
<action>Redirect to new aspects or ask for user guidance</action>
</check>
</substep>
<substep n="3d" goal="Format and Present Responses">
<action>Present each agent's contribution clearly:</action>
<format>
[Agent Name]: [Their response in their voice/style]
[Another Agent]: [Their response, potentially referencing the first]
[Third Agent if selected]: [Their contribution]
</format>
<action>Maintain spacing between agents for readability</action>
<action>Preserve each agent's unique voice throughout</action>
</substep>
<substep n="3e" goal="Check for Exit Conditions">
<check if="user message contains any {{exit_triggers}}">
<action>Have agents provide brief farewells in character</action>
<action>Thank user for the discussion</action>
<goto step="4">Exit party mode</goto>
</check>
<check if="user seems done or conversation naturally concludes">
<ask>Would you like to continue the discussion or end party mode?</ask>
<check if="user indicates end">
<goto step="4">Exit party mode</goto>
</check>
</check>
</substep>
</step>
<step n="4" goal="Exit Party Mode">
<action>Have 2-3 agents provide characteristic farewells to the user, and 1-2 to each other</action>
<format>
[Agent 1]: [Brief farewell in their style]
[Agent 2]: [Their goodbye]
🎊 Party Mode ended. Thanks for the great discussion!
</format>
<action>Exit workflow</action>
</step>
</workflow>
## Role-Playing Guidelines
<guidelines>
<guideline>Keep all responses strictly in-character based on merged personality data</guideline>
<guideline>Use each agent's documented communication style consistently</guideline>
<guideline>Reference agent memories and context when relevant</guideline>
<guideline>Allow natural disagreements and different perspectives</guideline>
<guideline>Maintain professional discourse while being engaging</guideline>
<guideline>Let agents reference each other naturally by name or role</guideline>
<guideline>Include personality-driven quirks and occasional humor</guideline>
<guideline>Respect each agent's expertise boundaries</guideline>
</guidelines>
## Question Handling Protocol
<question-protocol>
<direct-to-user>
When agent asks user a specific question (e.g., "What's your budget?"):
- End that round immediately after the question
- Clearly highlight the questioning agent and their question
- Wait for user response before any agent continues
</direct-to-user>
<rhetorical>
Agents can ask rhetorical or thinking-aloud questions without pausing
</rhetorical>
<inter-agent>
Agents can question each other and respond naturally within same round
</inter-agent>
</question-protocol>
## Moderation Notes
<moderation>
<note>If discussion becomes circular, have bmad-master summarize and redirect</note>
<note>If user asks for specific agent, let that agent take primary lead</note>
<note>Balance fun and productivity based on conversation tone</note>
<note>Ensure all agents stay true to their merged personalities</note>
<note>Exit gracefully when user indicates completion</note>
</moderation>
]]></file> ]]></file>
<file id="bmad/core/tasks/adv-elicit.xml" type="xml"> <file id="bmad/core/tasks/adv-elicit.xml" type="xml">
<task id="bmad/core/tasks/adv-elicit.xml" name="Advanced Elicitation" standalone="true" <task id="bmad/core/tasks/adv-elicit.xml" name="Advanced Elicitation" standalone="true"