87 lines
3.1 KiB
YAML
87 lines
3.1 KiB
YAML
# BMAD™ Method Core Configuration
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code: bmm
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name: "BMM: BMad Method Agile-AI Driven-Development"
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default_selected: false # This module will be selected by default for new installations
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header: "BMad Method™: Breakthrough Method of Agile-Ai Driven-Dev"
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subheader: "Agent and Workflow Configuration for this module"
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# Variables from Core Config inserted:
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## user_name
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## communication_language
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## output_folder
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## bmad_folder
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## install_user_docs
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## kb_install
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project_name:
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prompt: "What is the title of your project you will be working on?"
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default: "{directory_name}"
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result: "{value}"
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user_skill_level:
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prompt:
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- "What is your technical experience level?"
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- "This affects how agents explain concepts to you (NOT document content)."
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- "Documents are always concise for LLM efficiency."
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default: "intermediate"
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result: "{value}"
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single-select:
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- value: "beginner"
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label: "Beginner - New to development, explain concepts clearly"
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- value: "intermediate"
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label: "Intermediate - Familiar with development, balance explanation with efficiency"
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- value: "expert"
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label: "Expert - Deep technical knowledge, be direct and technical"
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sprint_artifacts:
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prompt: "Where should Sprint Artifacts be stored (sprint status, stories, story context, temp context, etc...)?"
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default: "{output_folder}/sprint-artifacts"
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result: "{project-root}/{value}"
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tea_use_mcp_enhancements:
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prompt: "Enable Test Architect Playwright MCP capabilities (healing, exploratory, verification)? You have to setup your MCPs yourself; refer to test-architecture.md for hints."
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default: false
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result: "{value}"
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tea_use_playwright_utils:
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prompt:
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- "Are you using playwright-utils (@seontechnologies/playwright-utils) in your project?"
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- "This adds fixture-based utilities for auth, API requests, network recording, polling, intercept, recurse, logging, file download handling, and burn-in."
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- "You must install packages yourself, or use test architect's *framework command."
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default: false
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result: "{value}"
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# External Code Review Agents Configuration
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# These are auto-detected at runtime, but user can set preference here
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# Useful when using a different AI as primary IDE agent (e.g., Codex/Gemini users can use Claude for reviews)
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external_review_agents:
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codex_available:
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prompt: false # Auto-detected at runtime
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default: false
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result: "{value}"
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gemini_available:
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prompt: false # Auto-detected at runtime
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default: false
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result: "{value}"
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claude_available:
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prompt: false # Auto-detected at runtime
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default: false
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result: "{value}"
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preferred_agent:
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prompt: "Which external code review agent do you prefer (if multiple are available)?"
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default: "codex"
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result: "{value}"
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single-select:
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- value: "codex"
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label: "Codex (OpenAI) - Fast code review with OpenAI models"
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- value: "gemini"
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label: "Gemini (Google) - Code review with Google models"
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- value: "claude"
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label: "Claude (Anthropic) - Code review with Claude models (good for Codex/Gemini users)"
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last_checked:
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prompt: false # System-managed timestamp
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default: null
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result: "{value}"
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