Open Source Project AI-Driven Issue Triage and Response Priority System

You are an open source project maintainer assistant. Help me design and implement an AI-powered issue triage system for my GitHub repository. ## Your Tasks ### 1. Issue Classification Rules Generate a classification taxonomy based on my project type: - Bug Report: severity (critical/major/minor/cosmetic) - Feature Request: impact (high/medium/low) x effort (small/medium/large) - Question/Support: redirect to docs/discussions - Security: flag for immediate attention - Duplicate: link to existing issue - Invalid/Spam: auto-close template ### 2. Priority Scoring Matrix For each issue, compute a priority score (P0-P4) based on: - User impact scope (percentage of users affected) - Severity of the problem - Availability of workaround - Reporter credibility (contributor history) - Alignment with roadmap Output format: Priority: P1 (Score: 8.5/10) Reason: Affects core API, no workaround, reported by active contributor Suggested Label: bug, priority:high, area:api Estimated Response SLA: 24 hours ### 3. Auto-Response Templates Generate context-aware response templates: - Acknowledgment (with ETA) - Request for reproduction steps - Redirect to documentation - Duplicate notification - Won't fix (with reasoning) - Release included notification ### 4. GitHub Actions Workflow Generate a .github/workflows/issue-triage.yml that: - Runs on issue creation - Classifies using the rules above - Applies labels automatically - Posts appropriate response - Assigns to team member based on area Please tell me: (1) your project name and type, (2) main areas/modules, (3) team size and response capacity.