What problem does it solve?
This Skill eliminates the risk of outdated, inaccurate top-level product documentation that misleads users about current software capabilities, saving teams hours of manual cross-referencing between code changes and docs.
Core Features & Use Cases
- Git History Drift Detection: Scans recent non-merge commits to identify shipped features, breaking changes, and structural updates missing from or incorrectly marked in target docs.
- Minimal Factual Edits: Applies only accuracy fixes, preserving existing document tone, structure, and voice, with no unnecessary rewrites or cosmetic changes.
- Automated PR Workflow: Creates a dedicated branch, commits fixes, and opens a pull request with a detailed change summary for team review.
- Use Case: After merging a new plugin system feature, run this skill to automatically update the README features table and SPEC extensions section to reflect the shipped capability, removing any outdated "coming soon" labels.
Quick Start
Ask the AI to run the doc-maintenance skill to audit and fix inaccuracies in your project's top-level README, SPEC, and PRODUCT documentation after a recent feature release.