What problem does it solve?
This Skill automates the process of evaluating codebases by deploying specialized AI agents to assess quality, identify issues, and suggest improvements, streamlining the development and review cycle.
Core Features & Use Cases
- Multi-Agent Code Audits: Leverages a configurable panel of AI agents (e.g., architecture, product, code quality) to perform comprehensive evaluations.
- Closed-Loop Improvement: Facilitates an audit-fix-re-audit cycle to track and demonstrate project improvement over time.
- Configurable Evaluation Panels: Allows users to define custom agent teams and evaluation criteria via YAML configuration.
- Real-time Validation: Integrates with common development tools (
tsc, jest, eslint, prettier) to validate findings.
- Use Case: A development team can use this Skill to perform a full audit of their new feature branch, identify critical bugs and architectural flaws, automatically generate fixes, and then re-audit to confirm the improvements before merging.
Quick Start
Run a full panel audit on the current codebase.