About
This skill provides a rigorous, automated code review process for GitHub pull requests by orchestrating specialized AI agents. It begins by filtering out ineligible PRs (like drafts or automated updates) and gathering context from CLAUDE.md files and git history. Five parallel agents then audit the changes for bugs, stylistic adherence, and historical patterns. To ensure high-quality feedback, a secondary validation layer scores every finding, only reporting issues with a confidence score of 80% or higher. This eliminates pedantic noise and false positives, delivering concise, actionable feedback directly to GitHub via the CLI.