What problem does it solve?
Manually running multiple code quality tools, interpreting their separate outputs, and tracking quality trends over time is tedious and inconsistent. This Skill automates the entire process, giving teams a single, clear view of code health without manual aggregation.
Core Features & Use Cases
- Multi-tool aggregation: Automatically detects or uses custom-configured type checkers, linters, test runners, dead code detectors, and shell linters to run all relevant quality checks in one go.
- Composite scoring: Computes a weighted 0-10 quality score from all tool results, so you get a single number to track instead of parsing dozens of separate warnings and errors.
- Trend tracking: Logs health scores over time so you can see if code quality is improving after refactors or slipping as the codebase grows.
- Use Case: A team preparing for a release can run this skill to get a full quality snapshot in seconds, instead of having each developer run their own local checks and manually combine the results.
Quick Start
Ask the AI to run the health skill for your current project to get a full code quality dashboard with a composite score and historical trend data.