Analyzes GitHub repository health, workflow velocity, and issue priority using standardized scoring formulas and analytical frameworks.
This skill provides a comprehensive framework for evaluating GitHub repository performance through data-driven metrics. It enables Claude to compute repository health scores with letter grades (A-F), prioritize issues and pull requests based on activity signals, and track remediation progress over time with delta reporting. By utilizing sophisticated formulas for velocity, contributor engagement, and bottleneck detection, the skill helps teams identify risks such as security debt, knowledge concentration (bus factor), and review delays, ensuring high-quality repository maintenance and efficient team workflows.
Key Features
01Advanced bottleneck detection for identifying review lags, stale work, and knowledge silos
02Multi-factor priority scoring for issues, PRs, and discussions to streamline triage and project management
03Velocity and throughput tracking including PR merge rates, review turnaround, and response times
04Confidence-level tagging and delta tracking to monitor remediation progress between analysis reports
05Automated repository health grading (0-100) with weighted penalties for CI failures and security alerts
06259 GitHub stars
Use Cases
01Triaging large backlogs by automatically calculating priority scores for hundreds of open issues and PRs
02Auditing open-source projects for community health signals like response times and documentation completeness
03Generating weekly repository health reports for engineering leadership to track team performance and reliability