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chore: import upstream snapshot with attribution
2026-07-13 12:04:08 +08:00
..

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

  1. Modular: Each project is self-contained
  2. Testable: Clear inputs/outputs at each stage
  3. Transparent: Intermediate files can be inspected
  4. 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:

  1. Create a subdirectory: documentation/automation/your-project/
  2. Follow the standard structure (README, TESTING, config, scripts, recipes)
  3. Create corresponding GitHub Actions workflow (if needed)
  4. Update this README with the new project

Questions?

For project-specific questions, see the README in each project directory.