Agent Swarm PR

# Create swarm from PR description using gh CLI
gh pr view 123 --json body,title,labels,files | npx ruv-swarm swarm create-from-pr

# Auto-spawn agents based on PR labels
gh pr view 123 --json labels | npx ruv-swarm swarm auto-spawn

# Create swarm with PR context
gh pr view 123 --json body,labels,author,assignees | \
  npx ruv-swarm swarm init --from-pr-data

<!-- In PR comment -->
$swarm init mesh 6
$swarm spawn coder "Implement authentication"
$swarm spawn tester "Write unit tests"
$swarm status

# .github$workflows$swarm-pr.yml
name: Swarm PR Handler
on:
  pull_request:
    types: [opened, labeled]
  issue_comment:
    types: [created]

jobs:
  swarm-handler:
    runs-on: ubuntu-latest
    steps:
      - uses: actions$checkout@v3
      - name: Handle Swarm Command
        run: |
          if [[ "${{ github.event.comment.body }}" == $swarm* ]]; then
            npx ruv-swarm github handle-comment \
              --pr ${{ github.event.pull_request.number }} \
              --comment "${{ github.event.comment.body }}"
          fi

{
  "label-mapping": {
    "bug": ["debugger", "tester"],
    "feature": ["architect", "coder", "tester"],
    "refactor": ["analyst", "coder"],
    "docs": ["researcher", "writer"],
    "performance": ["analyst", "optimizer"]
  }
}

# Small PR (< 100 lines): ring topology
# Medium PR (100-500 lines): mesh topology  
# Large PR (> 500 lines): hierarchical topology
npx ruv-swarm github pr-topology --pr 123

# Create swarm with PR context using gh CLI
PR_DIFF=$(gh pr diff 123)
PR_INFO=$(gh pr view 123 --json title,body,labels,files,reviews)

npx ruv-swarm github pr-init 123 \
  --auto-agents \
  --pr-data "$PR_INFO" \
  --diff "$PR_DIFF" \
  --analyze-impact

# Post swarm progress to PR using gh CLI
PROGRESS=$(npx ruv-swarm github pr-progress 123 --format markdown)

gh pr comment 123 --body "$PROGRESS"

# Update PR labels based on progress
if [[ $(echo "$PROGRESS" | grep -o '[0-9]\+%' | sed 's/%//') -gt 90 ]]; then
  gh pr edit 123 --add-label "ready-for-review"
fi

# Create review agents with gh CLI integration
PR_FILES=$(gh pr view 123 --json files --jq '.files[].path')

# Run swarm review
REVIEW_RESULTS=$(npx ruv-swarm github pr-review 123 \
  --agents "security,performance,style" \
  --files "$PR_FILES")

# Post review comments using gh CLI
echo "$REVIEW_RESULTS" | jq -r '.comments[]' | while read -r comment; do
  FILE=$(echo "$comment" | jq -r '.file')
  LINE=$(echo "$comment" | jq -r '.line')
  BODY=$(echo "$comment" | jq -r '.body')
  
  gh pr review 123 --comment --body "$BODY"
done

# Coordinate swarms across related PRs
npx ruv-swarm github multi-pr \
  --prs "123,124,125" \
  --strategy "parallel" \
  --share-memory

# Analyze PR dependencies
npx ruv-swarm github pr-deps 123 \
  --spawn-agents \
  --resolve-conflicts

# Auto-fix PR issues
npx ruv-swarm github pr-fix 123 \
  --issues "lint,test-failures" \
  --commit-fixes

<!-- .github$pull_request_template.md -->
## Swarm Configuration
- Topology: [mesh$hierarchical$ring$star]
- Max Agents: [number]
- Auto-spawn: [yes$no]
- Priority: [high$medium$low]

## Tasks for Swarm
- [ ] Task 1 description
- [ ] Task 2 description

# Require swarm completion before merge
required_status_checks:
  contexts:
    - "swarm$tasks-complete"
    - "swarm$tests-pass"
    - "swarm$review-approved"

# Auto-merge when swarm completes using gh CLI
# Check swarm completion status
SWARM_STATUS=$(npx ruv-swarm github pr-status 123)

if [[ "$SWARM_STATUS" == "complete" ]]; then
  # Check review requirements
  REVIEWS=$(gh pr view 123 --json reviews --jq '.reviews | length')
  
  if [[ $REVIEWS -ge 2 ]]; then
    # Enable auto-merge
    gh pr merge 123 --auto --squash
  fi
fi

// webhook-handler.js
const { createServer } = require('http');
const { execSync } = require('child_process');

createServer((req, res) => {
  if (req.url === '$github-webhook') {
    const event = JSON.parse(body);
    
    if (event.action === 'opened' && event.pull_request) {
      execSync(`npx ruv-swarm github pr-init ${event.pull_request.number}`);
    }
    
    res.writeHead(200);
    res.end('OK');
  }
}).listen(3000);

# PR #456: Add user authentication
npx ruv-swarm github pr-init 456 \
  --topology hierarchical \
  --agents "architect,coder,tester,security" \
  --auto-assign-tasks

# PR #789: Fix memory leak
npx ruv-swarm github pr-init 789 \
  --topology mesh \
  --agents "debugger,analyst,tester" \
  --priority high

# PR #321: Update API docs
npx ruv-swarm github pr-init 321 \
  --topology ring \
  --agents "researcher,writer,reviewer" \
  --validate-links

# Generate PR swarm report
npx ruv-swarm github pr-report 123 \
  --metrics "completion-time,agent-efficiency,token-usage" \
  --format markdown

# Export to GitHub Insights
npx ruv-swarm github export-metrics \
  --pr 123 \
  --to-insights

# Initialize PR-specific swarm with intelligent topology selection
mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 8 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "PR Coordinator" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Code Reviewer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Test Engineer" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Impact Analyzer" }
mcp__claude-flow__agent_spawn { type: "optimizer", name: "Performance Optimizer" }

# Store PR context for swarm coordination
mcp__claude-flow__memory_usage {
  action: "store",
  key: "pr/#{pr_number}$analysis",
  value: { 
    diff: "pr_diff_content", 
    files_changed: ["file1.js", "file2.py"],
    complexity_score: 8.5,
    risk_assessment: "medium"
  }
}

# Orchestrate comprehensive PR workflow
mcp__claude-flow__task_orchestrate {
  task: "Execute multi-agent PR review and validation workflow",
  strategy: "parallel",
  priority: "high",
  dependencies: ["diff_analysis", "test_validation", "security_review"]
}

// Pre-hook: PR Initialization and Swarm Setup
const prPreHook = async (prData) => {
  // Analyze PR complexity for optimal swarm configuration
  const complexity = await analyzePRComplexity(prData);
  const topology = complexity > 7 ? "hierarchical" : "mesh";
  
  // Initialize swarm with PR-specific configuration
  await mcp__claude_flow__swarm_init({ topology, maxAgents: 8 });
  
  // Store comprehensive PR context
  await mcp__claude_flow__memory_usage({
    action: "store",
    key: `pr/${prData.number}$context`,
    value: {
      pr: prData,
      complexity,
      agents_assigned: await getOptimalAgents(prData),
      timeline: generateTimeline(prData)
    }
  });
  
  // Coordinate initial agent synchronization
  await mcp__claude_flow__coordination_sync({ swarmId: "current" });
};

// Post-hook: PR Completion and Metrics
const prPostHook = async (results) => {
  // Generate comprehensive PR completion report
  const report = await generatePRReport(results);
  
  // Update PR with final swarm analysis
  await updatePRWithResults(report);
  
  // Store completion metrics for future optimization
  await mcp__claude_flow__memory_usage({
    action: "store",
    key: `pr/${results.number}$completion`,
    value: {
      completion_time: results.duration,
      agent_efficiency: results.agentMetrics,
      quality_score: results.qualityAssessment,
      lessons_learned: results.insights
    }
  });
};

# Coordinate merge decision with swarm consensus
mcp__claude-flow__coordination_sync { swarmId: "pr-review-swarm" }

# Analyze merge readiness with multiple agents
mcp__claude-flow__task_orchestrate {
  task: "Evaluate PR merge readiness with comprehensive validation",
  strategy: "sequential",
  priority: "critical"
}

# Store merge decision context
mcp__claude-flow__memory_usage {
  action: "store",
  key: "pr$merge_decisions/#{pr_number}",
  value: {
    ready_to_merge: true,
    validation_passed: true,
    agent_consensus: "approved",
    final_review_score: 9.2
  }
}