Feat(Expansion Pack): Part 3 - Configuration Guide

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/PART 3 - Configuration and Customization Guide/3.1 Variable Configuration Guide/3.1.1 - Company-Specific Variables.yaml

@@ -0,0 +1,19 @@
+# Company Information
+COMPANY_NAME: "Your Company Name"
+COMPANY_PREFIX: "yourcompany"  # lowercase, no spaces
+INDUSTRY: "Your Industry"
+BUSINESS_TYPE: "Your Business Type"
+PRIMARY_PRODUCT_TYPE: "Your Primary Product"
+CORE_BUSINESS_PROCESS: "Your Core Process"
+
+# Google Cloud Configuration
+PROJECT_ID: "your-project-id"
+LOCATION: "us-central1"  # or your preferred region
+BUCKET_NAME: "your-company-ai-agents-storage"
+DATABASE_NAME: "your-company-ai-agents-db"
+
+# Domain-Specific Configuration
+PRIMARY_DOMAIN: "Your Primary Domain"
+SECONDARY_DOMAIN: "Your Secondary Domain"
+SPECIALTY_AREA: "Your Specialization"
+TARGET_MARKET: "Your Target Market"

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/PART 3 - Configuration and Customization Guide/3.1 Variable Configuration Guide/3.1.2 - Agent Customization Variables.yaml

@@ -0,0 +1,14 @@
+# Agent Character Information
+AGENT_CHARACTER_NAME: "Character Full Name"
+AGENT_PROFESSIONAL_TITLE: "Professional Title"
+YEARS_EXPERIENCE: "10"  # number as string
+DOMAIN_EXPERTISE: "Your Domain"
+PRIMARY_SPECIALIZATION: "Primary Specialty"
+COMMUNICATION_STYLE: "Communication Approach"
+
+# Agent Capabilities
+PRIMARY_TASK: "main-task-name"
+SECONDARY_TASK: "supporting-task-name"
+ANALYSIS_TASK: "analysis-task-name"
+PRIMARY_TEMPLATE: "main-template-name"
+DOMAIN_SPECIFIC_UTILS: "domain-utils"

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/PART 3 - Configuration and Customization Guide/3.2 Industry Adaptation Examples/3.2.1 - Manufacturing Industry.yaml

@@ -0,0 +1,16 @@
+# Manufacturing-Specific Configuration
+INDUSTRY: "Manufacturing"
+BUSINESS_TYPE: "Product Manufacturing"
+PRIMARY_PRODUCT_TYPE: "Physical Products"
+CORE_BUSINESS_PROCESS: "Production Planning"
+
+# Manufacturing Agents
+ORCHESTRATOR_TITLE: "Production Manager"
+SPECIALIST_1_TITLE: "Quality Engineer"
+SPECIALIST_2_TITLE: "Process Engineer"
+SPECIALIST_3_TITLE: "Supply Chain Coordinator"
+
+# Manufacturing Workflows
+PRIMARY_WORKFLOW: "product-development-to-production"
+QUALITY_VALIDATION: "manufacturing-quality-control"
+PROCESS_OPTIMIZATION: "production-efficiency"

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/PART 3 - Configuration and Customization Guide/3.2 Industry Adaptation Examples/3.2.2 - Software Development.yaml

@@ -0,0 +1,16 @@
+# Software-Specific Configuration
+INDUSTRY: "Technology"
+BUSINESS_TYPE: "Software Development"
+PRIMARY_PRODUCT_TYPE: "Software Products"
+CORE_BUSINESS_PROCESS: "Software Development Lifecycle"
+
+# Software Development Agents
+ORCHESTRATOR_TITLE: "Technical Lead"
+SPECIALIST_1_TITLE: "Software Architect"
+SPECIALIST_2_TITLE: "Senior Developer"
+SPECIALIST_3_TITLE: "QA Engineer"
+
+# Software Workflows
+PRIMARY_WORKFLOW: "requirements-to-deployment"
+QUALITY_VALIDATION: "code-quality-assurance"
+PROCESS_OPTIMIZATION: "development-efficiency"

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/PART 3 - Configuration and Customization Guide/3.2 Industry Adaptation Examples/3.2.3 - Healthcare Services.yaml

@@ -0,0 +1,16 @@
+# Healthcare-Specific Configuration
+INDUSTRY: "Healthcare"
+BUSINESS_TYPE: "Healthcare Services"
+PRIMARY_PRODUCT_TYPE: "Patient Care Services"
+CORE_BUSINESS_PROCESS: "Patient Care Delivery"
+
+# Healthcare Agents
+ORCHESTRATOR_TITLE: "Clinical Director"
+SPECIALIST_1_TITLE: "Clinical Specialist"
+SPECIALIST_2_TITLE: "Quality Assurance Coordinator"
+SPECIALIST_3_TITLE: "Compliance Officer"
+
+# Healthcare Workflows
+PRIMARY_WORKFLOW: "patient-care-optimization"
+QUALITY_VALIDATION: "clinical-quality-assurance"
+PROCESS_OPTIMIZATION: "care-delivery-efficiency"

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/PART 3 - Configuration and Customization Guide/3.3 Implementation Roadmap Template/3.3.3 - Phase 3- Optimization & Scale (Month 4).yaml

@@ -0,0 +1,11 @@
+optimization_focus:
+  - Performance monitoring and optimization
+  - User feedback integration and system improvements
+  - Advanced feature implementation
+  - Scaling preparation and capacity planning
+
+success_metrics:
+  - System performance meets targets
+  - User adoption and satisfaction metrics
+  - Quality improvements and efficiency gains
+  - Business value realization measurement

expansion-packs/Complete AI Agent System - Blank Templates & Google Cloud Setup/README.md

@@ -0,0 +1,109 @@
+# BMad Expansion Pack: Google Cloud Vertex AI Agent System
+
+[](https://opensource.org/licenses/MIT)
+[](https://www.google.com/search?q=https://github.com/antmikinka/BMAD-METHOD)
+[](https://cloud.google.com/)
+
+This expansion pack provides a complete, deployable starter kit for building and hosting sophisticated AI agent systems on Google Cloud Platform (GCP). It bridges the gap between the BMad Method's natural language framework and a production-ready cloud environment, leveraging Google Vertex AI, Cloud Run, and the Google Agent Development Kit (ADK).
+
+## Features
+
+  * **Automated GCP Setup**: `gcloud` scripts to configure your project, service accounts, and required APIs in minutes.
+  * **Production-Ready Deployment**: Includes a `Dockerfile` and `cloudbuild.yaml` for easy, repeatable deployments to Google Cloud Run.
+  * **Rich Template Library**: A comprehensive set of BMad-compatible templates for Teams, Agents, Tasks, Workflows, Documents, and Checklists.
+  * **Pre-configured Agent Roles**: Includes powerful master templates for key agent archetypes like Orchestrators and Specialists.
+  * **Highly Customizable**: Easily adapt the entire system with company-specific variables and industry-specific configurations.
+  * **Powered by Google ADK**: Built on the official Google Agent Development Kit for robust and native integration with Vertex AI services.
+
+## Prerequisites
+
+Before you begin, ensure you have the following installed and configured:
+
+  * A Google Cloud Platform (GCP) Account with an active billing account.
+  * The [Google Cloud SDK (`gcloud` CLI)](https://www.google.com/search?q=%5Bhttps://cloud.google.com/sdk/docs/install%5D\(https://cloud.google.com/sdk/docs/install\)) installed and authenticated.
+  * [Docker](https://www.docker.com/products/docker-desktop/) installed on your local machine.
+  * Python 3.11+
+
+## Quick Start Guide
+
+Follow these steps to get your own AI agent system running on Google Cloud.
+
+### 1\. Configure Setup Variables
+
+The setup scripts use placeholder variables. Before running them, open the files in the `/scripts` directory and replace the following placeholders with your own values:
+
+  * `{{PROJECT_ID}}`: Your unique Google Cloud project ID.
+  * `{{COMPANY_NAME}}`: Your company or project name (used for naming resources).
+  * `{{LOCATION}}`: The GCP region you want to deploy to (e.g., `us-central1`).
+
+### 2\. Run the GCP Setup Scripts
+
+Execute the setup scripts to prepare your Google Cloud environment.
+
+```bash
+# Navigate to the scripts directory
+cd scripts/
+
+# Run the project configuration script
+sh 1-initial-project-config.sh
+
+# Run the service account setup script
+sh 2-service-account-setup.sh
+```
+
+These scripts will enable the necessary APIs, create a service account, assign permissions, and download a JSON key file required for authentication.
+
+### 3\. Install Python Dependencies
+
+Install the required Python packages for the application.
+
+```bash
+# From the root of the expansion pack
+pip install -r requirements.txt
+```
+
+### 4\. Deploy to Cloud Run
+
+Deploy the entire agent system as a serverless application using Cloud Build.
+
+```bash
+# From the root of the expansion pack
+gcloud builds submit --config deployment/cloudbuild.yaml .
+```
+
+This command will build the Docker container, push it to the Google Container Registry, and deploy it to Cloud Run. Your agent system is now live\!
+
+## How to Use
+
+Once deployed, the power of this system lies in its natural language templates.
+
+1.  **Define Your Organization**: Go to `/templates/teams` and use the templates to define your agent teams (e.g., Product Development, Operations).
+2.  **Customize Your Agents**: In `/templates/agents`, use the `Master-Agent-Template.yaml` to create new agents or customize the existing Orchestrator and Specialist templates. Define their personas, skills, and commands in plain English.
+3.  **Build Your Workflows**: In `/templates/workflows`, link agents and tasks together to create complex, automated processes.
+
+The deployed application reads these YAML and Markdown files to dynamically construct and run your AI workforce. When you update a template, your live agents automatically adopt the new behaviors.
+
+## What's Included
+
+This expansion pack has a comprehensive structure to get you started:
+
+```
+/
+├── deployment/             # Dockerfile and cloudbuild.yaml for deployment
+├── scripts/                # GCP setup scripts (project config, service accounts)
+├── src/                    # Python source code (main.py, settings.py)
+├── templates/
+│   ├── agents/             # Master, Orchestrator, Specialist agent templates
+│   ├── teams/              # Team structure templates
+│   ├── tasks/              # Generic and specialized task templates
+│   ├── documents/          # Document and report templates
+│   ├── checklists/         # Quality validation checklists
+│   ├── workflows/          # Workflow definition templates
+│   └── ...and more
+├── config/                 # Customization guides and variable files
+└── requirements.txt        # Python package dependencies
+```
+
+## Contributing
+
+Contributions are welcome\! Please follow the main project's `CONTRIBUTING.md` guidelines. For major changes or new features for this expansion pack, please open an issue or discussion first.