开源项目 AI 驱动的 Issue 分诊与响应优先级系统

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.