What problem does it solve?
This Skill enables automated, end-to-end quality scanning of the socket-btm codebase by coordinating specialized AI agents to detect critical bugs, logic errors, caching issues, and workflow problems before releases or incident investigations.
Core Features & Use Cases
- Agent-driven analysis: Spawns distinct agents to cover critical, logic, cache, and workflow perspectives and aggregates results.
- Prioritized findings: Produces a consolidated, severity-ordered report with actionable fixes and file references.
- Partial scans: Allows running only selected scan types to fit CI time or risk tolerance.
- Before-release validation: Use as part of release gates to catch regressions in code quality.
- Audit-ready output: Generates both human-readable reports and structured data for integration into ticketing systems.
Quick Start
Run the quality scan against the repository root to begin.