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skill-090

skill-090

Autonomous issue management - fetches open GitHub issues, analyzes priorities, detects dependencies, spawns parallel subagents, and verifies results. Triggers: /run-issues, autonomous issues, batch issues, parallel issue processing.

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Documentation de la Skill

GitHub

name: skill-090 description: "Autonomous issue management - fetches open GitHub issues, analyzes priorities, detects dependencies, spawns parallel subagents, and verifies results. Triggers: /run-issues, autonomous issues, batch issues, parallel issue processing."

Run Issues Skill

Autonomous workflow for processing multiple GitHub issues in parallel with priority-based scheduling and verification.

Overview

This skill orchestrates the complete lifecycle of issue processing:

  1. Fetch open issues from GitHub
  2. Analyze and prioritize (P0 > P1 > P2)
  3. Detect dependencies between issues
  4. Spawn subagents for parallel execution
  5. Verify all results before reporting

When to Use

Use this skill when:

  • User invokes /run-issues
  • User requests batch processing of issues
  • User wants autonomous issue handling
  • Multiple issues need parallel processing

Workflow

Phase 0: Pre-Flight Check

IMPORTANT: Before starting, check if AWK principal workflow is active.

# Check for active AWK workflow
if [ -f ".ai/state/kickoff.lock" ]; then
    echo "⚠️ WARNING: AWK principal workflow is active"
fi

If .ai/state/kickoff.lock exists:

  1. Warn the user:
    ⚠️ AWK principal workflow 正在執行中。
    同時執行 /run-issues 可能導致:
    - 同一 issue 被重複處理
    - 產生重複的 branch 或 PR
    - Merge conflicts
    
    建議:等待 AWK workflow 完成後再執行。
    確定要繼續嗎?(yes/no)
    
  2. Only proceed if user explicitly confirms with "yes"
  3. If user says "no", abort gracefully

If lock file does not exist, proceed to Phase 1.

Phase 1: Fetch Issues

gh issue list --state open --json number,title,body,labels,assignees --limit 50

Parse the JSON output to get all open issues.

Phase 2: Analyze Issues

Read phases/analyze.md for detailed priority analysis rules.

For each issue:

  1. Extract priority from labels (P0/P1/P2)
  2. Parse dependencies from issue body
  3. Calculate priority score
  4. Build dependency graph

Phase 3: Plan Parallel Execution

Read phases/parallelize.md for parallelization strategy.

  1. Group issues by dependency chains
  2. Identify independent issue sets
  3. Determine optimal subagent count (max 3 concurrent)
  4. Create execution batches

Phase 4: Execute

For each batch of independent issues:

  1. Spawn subagents using Task tool:

    Task tool parameters:
    - subagent_type: general-purpose
    - description: "Work on Issue #<number>: <title>"
    - prompt: |
        Complete Issue #<number>. Requirements: <body excerpt>.
    
        CRITICAL - Follow .ai/rules/_kit/git-workflow.md strictly:
    
        Commit format:
        - Format: [type] subject
        - Subject MUST be lowercase (e.g., "add feature" not "Add feature")
        - NO colon after bracket
        - Valid types: feat, fix, docs, style, refactor, perf, test, chore
    
        Examples:
        ✅ [docs] update api reference
        ✅ [feat] add user authentication
        ❌ [Docs] Update API reference (uppercase = WRONG)
        ❌ docs: update api reference (colon = WRONG)
    
        PR requirements:
        - PR body MUST include: Closes #<number>
        - PR target: develop branch (or as specified)
    
  2. Wait for all subagents in batch to complete

  3. Move to next batch (respecting dependencies)

Phase 5: Verify Results

Read phases/verify.md for verification checklist.

For each completed issue:

  1. Check if PR was created
  2. Validate commit format
  3. Verify tests pass
  4. Confirm branch is up-to-date

Phase 6: Report

Generate summary table:

| Issue | Title | Priority | Status | PR | Notes |
|-------|-------|----------|--------|-----|-------|
| #123  | Fix bug | P0 | Completed | #456 | Tests pass |
| #124  | Add feature | P1 | Completed | #457 | Ready for review |
| #125  | Update docs | P2 | Failed | - | Test failures |

Error Handling

  • If a subagent fails, log the error and continue with other issues
  • Failed issues are marked in the final report
  • Dependencies of failed issues are skipped with note

Self-Check

On each phase entry, output:

[RUN-ISSUES] <timestamp> | <phase> | loaded: <filename>

Integration with AWK Workflow

⚠️ WARNING: Do NOT run /run-issues and awkit kickoff simultaneously.

This skill processes GitHub issues independently of AWK's spec-driven workflow.

  • AWK uses tasks.md specs → awkit dispatch-worker
  • This skill fetches from GitHub → Task subagents

Recommended workflow:

/create-issues → issues created
        ↓
    Choose ONE:
        ├─ awkit kickoff (structured, spec-driven)
        └─ /run-issues (autonomous, batch processing)  ← this skill

Quick Reference

PhaseActionFile
Pre-FlightCheck AWK workflow not active(inline)
AnalyzeDetermine priorities and dependenciesphases/analyze.md
ParallelizePlan execution batchesphases/parallelize.md
VerifyCheck completed workphases/verify.md
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