A specialized Claude sub-agent for automated workspace configuration management with intelligent commit messages and robust multi-layer validation.
This project creates a reliable automation solution that monitors workspace configuration files and commits changes to GitHub with contextual commit messages, eliminating manual Git operations while ensuring safety through comprehensive validation systems.
- Automated Monitoring: Watches workspace configuration files (.claude/*, CLAUDE.md, .gitignore, README.md)
- Multi-Layer Validation: File whitelist filtering → safety checks → outcome verification
- Intelligent Commits: Generates contextual commit messages based on change analysis
- Rollback Capability: Complete undo functionality for failed Git operations
- Safety First: Conservative approach with multiple validation layers
workspace-git-sync-agent/
├── .bmad-core/ # BMAD framework installation
├── .claude/ # Claude Code integration commands
├── docs/ # Project documentation
│ └── brief.md # Detailed project brief
├── explore/ # Research and discovery phase
├── plan/ # Planning and design phase
├── execute/ # Implementation phase (TBD)
├── PROJECT_CHECKPOINT.md # Development status tracking
└── README.md # This file
This project uses the BMAD (Breakthrough Method for AI-driven Agile Development) methodology:
- Explore Phase: Research agent architecture and validation patterns
- Plan Phase: Design comprehensive agent architecture with safety systems
- Execute Phase: Implement agent with robust testing and deployment
Current Challenge: Manual Git workflow management creates friction in AI-assisted development, with existing automation tools lacking the reliability validation needed for safe autonomous operation.
Solution: A Claude sub-agent that focuses on outcome validation rather than confidence prediction - verifying that Git operations actually succeed and providing rollback mechanisms when they don't.
Primary User: AI-assisted developers establishing reliable automation patterns for workspace configuration management.
Specific Need: Eliminate manual Git operations for configuration changes while maintaining 100% reliability and complete audit trail.
- Zero false positives (commits that shouldn't have happened)
- 95%+ accuracy in commit message generation
- Complete rollback capability for failed Git operations
- 100% reliability rate (reported operations must actually complete)
- Runtime: Node.js (BMAD compatibility requirement)
- Package Manager: npm for dependencies, npx for BMAD
- Git Operations: Programmatic Git control with verification
- File Monitoring: Cross-platform file watching capabilities
- Integration: Claude Code tool integration, GitHub CLI compatibility
- Approved file patterns only (.claude/*, CLAUDE.md, .gitignore, README.md, etc.)
- File size limits (< 1MB)
- No binary files (except specific image paths)
- Secrets scanning (API keys, tokens, passwords)
- JSON/YAML syntax validation
- Line change limits (< 100 lines per commit)
- Text-based configuration changes only
- No new executable files
- High confidence → Auto-commit with post-execution verification
- Medium/Low confidence → Log for manual review
- Failed verification → Automatic rollback
Current Phase: Post-BMAD Installation - Ready for Explore Phase
Completed:
- ✅ Project setup and repository configuration
- ✅ BMAD framework installation
- ✅ Claude Code integration setup
- ✅ Initial project documentation
Next Steps:
- Begin BMAD Explore Phase for agent architecture research
- Create PRD (Product Requirements Document)
- Design technical architecture with validation systems
- Implement MVP with comprehensive testing
This is a personal learning project focused on establishing reliable Claude sub-agent development patterns. The codebase serves as both a functional tool and a case study for AI-assisted development practices.
Private project - All rights reserved.
Built with: BMAD Methodology | Claude Code | GitHub Integration Purpose: Learning advanced AI development patterns while solving real workflow automation needs