| name | github-issue-analyzer |
| description | Fetches issues from any GitHub repository with recent activity and generates a prioritized report by analyzing issue state, labels, and comment counts to identify high-priority bugs, enhancements, and good first issues for contributors. |
GitHub Issue Analyzer
Instructions
This skill fetches GitHub issues from any repository and generates a comprehensive prioritized report. It's useful for understanding project health, identifying what needs attention, and helping new contributors find good starting issues.
Usage
- Import the analyzer function
- Call it with a repository owner and name
- Optionally specify the number of days for "recent activity" (default: 30)
- The function returns a structured report and saves raw data to
./workspace/
Features
- Automatic Categorization: Issues are categorized into HIGH, MEDIUM, LOW priority and "Good First Issues"
- Smart Filtering: Identifies bugs vs enhancements, counts active discussions
- Activity-Based Ranking: Sorts by comment count and recency
- Comprehensive Report: Includes summary statistics, top 10 recommended issues, and full issue listings
Priority Logic
- HIGH PRIORITY: Open bugs OR open issues with >3 comments
- MEDIUM PRIORITY: Open enhancements/feature requests
- LOW PRIORITY: Closed issues or less active items
- GOOD FIRST ISSUES: Issues explicitly labeled as beginner-friendly
Examples
import { analyzeGitHubIssues } from './.claude/skills/github-issue-analyzer/implementation';
const report = await analyzeGitHubIssues('modelcontextprotocol', 'inspector');
const report = await analyzeGitHubIssues('modelcontextprotocol', 'inspector', 60);
Output Files
The skill automatically saves:
./workspace/all-issues.json - Raw issue data (100 issues per page)./workspace/issue-report.md - Formatted markdown report
Dependencies
- MCP Tool:
list_issues from GitHub server
