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Documentation Automation
This directory contains automated pipelines for keeping goose documentation synchronized with code changes.
Overview
Each automation project tracks specific types of changes and updates corresponding documentation:
| Project | Status | Tracks | Updates |
|---|---|---|---|
| cli-command-tracking | 🔮 Planned | CLI commands & options | CLI documentation |
| provider-tracking | 🔮 Planned | Supported AI providers | Provider documentation |
| extension-tracking | 🔮 Planned | Built-in extensions | Extension documentation |
Architecture
Each automation project follows a consistent pattern:
project-name/
├── README.md # Project-specific documentation
├── TESTING.md # How to test this automation
├── config/ # Configuration files
├── scripts/ # Deterministic extraction/diff scripts
└── recipes/ # AI-powered synthesis/update recipes
Design Principles
- Modular: Each project is self-contained
- Testable: Clear inputs/outputs at each stage
- Transparent: Intermediate files can be inspected
- Reusable: Common patterns across projects
Hybrid Approach
- Shell scripts: Deterministic extraction and comparison
- AI recipes: Synthesis and documentation updates
GitHub Actions Integration
Automation projects can be triggered via GitHub Actions workflows in .github/workflows/.
See individual project TESTING.md files for workflow usage.
Adding New Automations
When creating a new automation project:
- Create a subdirectory:
documentation/automation/your-project/ - Follow the standard structure (README, TESTING, config, scripts, recipes)
- Create corresponding GitHub Actions workflow (if needed)
- Update this README with the new project
Questions?
For project-specific questions, see the README in each project directory.