What problem does it solve?
This Skill fixes or generates canonical project documentation by researching the actual codebase first, then writing content that matches real files, modules, dependencies, and validation rules.
Core Features & Use Cases
- Research-driven documentation: Inspects the repository before writing so the output reflects the real system instead of placeholders.
- Guard-aware repair loop: Uses diagnostic and validation feedback to iteratively correct documentation until checks pass or the limit is reached.
- Project-specific docs: Supports canonical docs such as architecture, security, test specs, data models, environment setup, and requirements.
- Use Case: A team needs to repair missing or stale security and architecture docs and wants the AI to inspect the repository, write accurate content, and verify it against documentation guards.
Quick Start
Ask the skill to diagnose and fix the repository's documentation issues using the actual project files and guard results.