Source profileQuality 94/100Review permissions

ruvnet/ruflo/.claude/skills/github-code-review/SKILL.md

github-code-review

Comprehensive GitHub code review with AI-powered swarm coordination

Source repository stars
66,999
Declared platforms
0
Static risk flags
1
Last source update
2026-08-04
Source checked
2026-08-04

Decision brief

What it does—and where it fits

AI-Powered Code Review: Deploy specialized review agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.

Best for

    Not for

    • Issue: Review agents not spawning
    • Issue: Comments not posting to PR

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/ruvnet/ruflo --skill ".claude/skills/github-code-review"
    Safe inspection promptEditorial

    Inspect the Agent Skill "github-code-review" from https://github.com/ruvnet/ruflo/blob/913f9eaedee92627950544424e50339feaf98271/.claude/skills/github-code-review/SKILL.md at commit 913f9eaedee92627950544424e50339feaf98271. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      🎯 Quick Start

      Review the “🎯 Quick Start” section in the pinned source before continuing.

      Review and apply the “🎯 Quick Start” source section.
    2. 02

      Simple Review

      Review the “Simple Review” section in the pinned source before continuing.

      Review and apply the “Simple Review” source section.
    3. 03

      Initialize review swarm for PR

      gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123

      gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123
    4. 04

      Post review status

      gh pr comment 123 --body "🔍 Multi-agent code review initiated" bash

      gh pr comment 123 --body "🔍 Multi-agent code review initiated" bash
    5. 05

      Complete Review Workflow

      Review the “Complete Review Workflow” section in the pinned source before continuing.

      Review and apply the “Complete Review Workflow” source section.

    Permission review

    Static risk signals and limitations

    Runs scripts

    medium · line 24

    The documentation asks the agent to run terminal commands or scripts.

    npx ruv-swarm github review-init \

    Runs scripts

    medium · line 92

    The documentation asks the agent to run terminal commands or scripts.

    npx ruv-swarm github review-init \

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score94/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars66,999SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    ruvnet/ruflo
    Skill path
    .claude/skills/github-code-review/SKILL.md
    Commit
    913f9eaedee92627950544424e50339feaf98271
    License
    MIT
    Collected
    2026-08-04
    Default branch
    main
    View the original SKILL.md

    GitHub Code Review Skill

    AI-Powered Code Review: Deploy specialized review agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.

    🎯 Quick Start

    Simple Review

    # Initialize review swarm for PR
    gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123
    
    # Post review status
    gh pr comment 123 --body "🔍 Multi-agent code review initiated"
    

    Complete Review Workflow

    # Get PR context with gh CLI
    PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
    PR_DIFF=$(gh pr diff 123)
    
    # Initialize comprehensive review
    npx ruv-swarm github review-init \
      --pr 123 \
      --pr-data "$PR_DATA" \
      --diff "$PR_DIFF" \
      --agents "security,performance,style,architecture,accessibility" \
      --depth comprehensive
    

    📚 Table of Contents


    🚀 Core Features

    Multi-Agent Review System

    Deploy specialized AI agents for comprehensive code review:

    # Initialize review swarm with GitHub CLI integration
    PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body)
    PR_DIFF=$(gh pr diff 123)
    
    # Start multi-agent review
    npx ruv-swarm github review-init \
      --pr 123 \
      --pr-data "$PR_DATA" \
      --diff "$PR_DIFF" \
      --agents "security,performance,style,architecture,accessibility" \
      --depth comprehensive
    
    # Post initial review status
    gh pr comment 123 --body "🔍 Multi-agent code review initiated"
    

    Benefits:

    • ✅ Parallel review by specialized agents
    • ✅ Comprehensive coverage across multiple domains
    • ✅ Faster review cycles with coordinated analysis
    • ✅ Consistent quality standards enforcement

    🤖 Specialized Review Agents

    Security Review Agent

    Focus: Identify security vulnerabilities and suggest fixes

    # Get changed files from PR
    CHANGED_FILES=$(gh pr view 123 --json files --jq '.files[].path')
    
    # Run security-focused review
    SECURITY_RESULTS=$(npx ruv-swarm github review-security \
      --pr 123 \
      --files "$CHANGED_FILES" \
      --check "owasp,cve,secrets,permissions" \
      --suggest-fixes)
    
    # Post findings based on severity
    if echo "$SECURITY_RESULTS" | grep -q "critical"; then
      # Request changes for critical issues
      gh pr review 123 --request-changes --body "$SECURITY_RESULTS"
      gh pr edit 123 --add-label "security-review-required"
    else
      # Post as comment for non-critical issues
      gh pr comment 123 --body "$SECURITY_RESULTS"
    fi
    
    {
      "checks": [
        "SQL injection vulnerabilities",
        "XSS attack vectors",
        "Authentication bypasses",
        "Authorization flaws",
        "Cryptographic weaknesses",
        "Dependency vulnerabilities",
        "Secret exposure",
        "CORS misconfigurations"
      ],
      "actions": [
        "Block PR on critical issues",
        "Suggest secure alternatives",
        "Add security test cases",
        "Update security documentation"
      ]
    }
    
    🔒 **Security Issue: [Type]**
    
    **Severity**: 🔴 Critical / 🟡 High / 🟢 Low
    
    **Description**:
    [Clear explanation of the security issue]
    
    **Impact**:
    [Potential consequences if not addressed]
    
    **Suggested Fix**:
    ```language
    [Code example of the fix]
    

    References:

    
    </details>
    
    ---
    
    ### Performance Review Agent
    
    **Focus:** Analyze performance impact and optimization opportunities
    
    ```bash
    # Run performance analysis
    npx ruv-swarm github review-performance \
      --pr 123 \
      --profile "cpu,memory,io" \
      --benchmark-against main \
      --suggest-optimizations
    
    {
      "metrics": [
        "Algorithm complexity (Big O analysis)",
        "Database query efficiency",
        "Memory allocation patterns",
        "Cache utilization",
        "Network request optimization",
        "Bundle size impact",
        "Render performance"
      ],
      "benchmarks": [
        "Compare with baseline",
        "Load test simulations",
        "Memory leak detection",
        "Bottleneck identification"
      ]
    }
    

    Architecture Review Agent

    Focus: Evaluate design patterns and architectural decisions

    # Architecture review
    npx ruv-swarm github review-architecture \
      --pr 123 \
      --check "patterns,coupling,cohesion,solid" \
      --visualize-impact \
      --suggest-refactoring
    
    {
      "patterns": [
        "Design pattern adherence",
        "SOLID principles",
        "DRY violations",
        "Separation of concerns",
        "Dependency injection",
        "Layer violations",
        "Circular dependencies"
      ],
      "metrics": [
        "Coupling metrics",
        "Cohesion scores",
        "Complexity measures",
        "Maintainability index"
      ]
    }
    

    Style & Convention Agent

    Focus: Enforce coding standards and best practices

    # Style enforcement with auto-fix
    npx ruv-swarm github review-style \
      --pr 123 \
      --check "formatting,naming,docs,tests" \
      --auto-fix "formatting,imports,whitespace"
    
    {
      "checks": [
        "Code formatting",
        "Naming conventions",
        "Documentation standards",
        "Comment quality",
        "Test coverage",
        "Error handling patterns",
        "Logging standards"
      ],
      "auto-fix": [
        "Formatting issues",
        "Import organization",
        "Trailing whitespace",
        "Simple naming issues"
      ]
    }
    

    🔄 PR-Based Swarm Management

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

    Label-Based Agent Assignment

    Map PR labels to specialized agents:

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

    Topology Selection by PR Size

    # Automatic topology selection based on PR complexity
    # 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
    

    🎬 PR Comment Commands

    Execute swarm commands directly from PR comments:

    <!-- In PR comment -->
    /swarm init mesh 6
    /swarm spawn coder "Implement authentication"
    /swarm spawn tester "Write unit tests"
    /swarm status
    /swarm review --agents security,performance
    
    // 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}`);
        }
    
        if (event.comment && event.comment.body.startsWith('/swarm')) {
          const command = event.comment.body;
          execSync(`npx ruv-swarm github handle-comment --pr ${event.issue.number} --command "${command}"`);
        }
    
        res.writeHead(200);
        res.end('OK');
      }
    }).listen(3000);
    

    ⚙️ Review Configuration

    Configuration File

    # .github/review-swarm.yml
    version: 1
    review:
      auto-trigger: true
      required-agents:
        - security
        - performance
        - style
      optional-agents:
        - architecture
        - accessibility
        - i18n
    
      thresholds:
        security: block      # Block merge on security issues
        performance: warn    # Warn on performance issues
        style: suggest       # Suggest style improvements
    
      rules:
        security:
          - no-eval
          - no-hardcoded-secrets
          - proper-auth-checks
          - validate-input
        performance:
          - no-n-plus-one
          - efficient-queries
          - proper-caching
          - optimize-loops
        architecture:
          - max-coupling: 5
          - min-cohesion: 0.7
          - follow-patterns
          - avoid-circular-deps
    

    Custom Review Triggers

    {
      "triggers": {
        "high-risk-files": {
          "paths": ["**/auth/**", "**/payment/**", "**/admin/**"],
          "agents": ["security", "architecture"],
          "depth": "comprehensive",
          "require-approval": true
        },
        "performance-critical": {
          "paths": ["**/api/**", "**/database/**", "**/cache/**"],
          "agents": ["performance", "database"],
          "benchmarks": true,
          "regression-threshold": "5%"
        },
        "ui-changes": {
          "paths": ["**/components/**", "**/styles/**", "**/pages/**"],
          "agents": ["accessibility", "style", "i18n"],
          "visual-tests": true,
          "responsive-check": true
        }
      }
    }
    

    🤖 Automated Workflows

    Auto-Review on PR Creation

    # .github/workflows/auto-review.yml
    name: Automated Code Review
    on:
      pull_request:
        types: [opened, synchronize]
      issue_comment:
        types: [created]
    
    jobs:
      swarm-review:
        runs-on: ubuntu-latest
        steps:
          - uses: actions/checkout@v4
            with:
              fetch-depth: 0
    
          - name: Setup GitHub CLI
            run: echo "${{ secrets.GITHUB_TOKEN }}" | gh auth login --with-token
    
          - name: Run Review Swarm
            run: |
              # Get PR context with gh CLI
              PR_NUM=${{ github.event.pull_request.number }}
              PR_DATA=$(gh pr view $PR_NUM --json files,title,body,labels)
              PR_DIFF=$(gh pr diff $PR_NUM)
    
              # Run swarm review
              REVIEW_OUTPUT=$(npx ruv-swarm github review-all \
                --pr $PR_NUM \
                --pr-data "$PR_DATA" \
                --diff "$PR_DIFF" \
                --agents "security,performance,style,architecture")
    
              # Post review results
              echo "$REVIEW_OUTPUT" | gh pr review $PR_NUM --comment -F -
    
              # Update PR status
              if echo "$REVIEW_OUTPUT" | grep -q "approved"; then
                gh pr review $PR_NUM --approve
              elif echo "$REVIEW_OUTPUT" | grep -q "changes-requested"; then
                gh pr review $PR_NUM --request-changes -b "See review comments above"
              fi
    
          - name: Update Labels
            run: |
              # Add labels based on review results
              if echo "$REVIEW_OUTPUT" | grep -q "security"; then
                gh pr edit $PR_NUM --add-label "security-review"
              fi
              if echo "$REVIEW_OUTPUT" | grep -q "performance"; then
                gh pr edit $PR_NUM --add-label "performance-review"
              fi
    

    💬 Intelligent Comment Generation

    Generate Contextual Review Comments

    # Get PR diff with context
    PR_DIFF=$(gh pr diff 123 --color never)
    PR_FILES=$(gh pr view 123 --json files)
    
    # Generate review comments
    COMMENTS=$(npx ruv-swarm github review-comment \
      --pr 123 \
      --diff "$PR_DIFF" \
      --files "$PR_FILES" \
      --style "constructive" \
      --include-examples \
      --suggest-fixes)
    
    # Post comments using gh CLI
    echo "$COMMENTS" | jq -c '.[]' | while read -r comment; do
      FILE=$(echo "$comment" | jq -r '.path')
      LINE=$(echo "$comment" | jq -r '.line')
      BODY=$(echo "$comment" | jq -r '.body')
      COMMIT_ID=$(gh pr view 123 --json headRefOid -q .headRefOid)
    
      # Create inline review comments
      gh api \
        --method POST \
        /repos/:owner/:repo/pulls/123/comments \
        -f path="$FILE" \
        -f line="$LINE" \
        -f body="$BODY" \
        -f commit_id="$COMMIT_ID"
    done
    

    Batch Comment Management

    # Manage review comments efficiently
    npx ruv-swarm github review-comments \
      --pr 123 \
      --group-by "agent,severity" \
      --summarize \
      --resolve-outdated
    

    🚪 Quality Gates & Checks

    Status Checks

    # Required status checks in branch protection
    protection_rules:
      required_status_checks:
        strict: true
        contexts:
          - "review-swarm/security"
          - "review-swarm/performance"
          - "review-swarm/architecture"
          - "review-swarm/tests"
    

    Define Quality Gates

    # Set quality gate thresholds
    npx ruv-swarm github quality-gates \
      --define '{
        "security": {"threshold": "no-critical"},
        "performance": {"regression": "<5%"},
        "coverage": {"minimum": "80%"},
        "architecture": {"complexity": "<10"},
        "duplication": {"maximum": "5%"}
      }'
    

    Track Review Metrics

    # Monitor review effectiveness
    npx ruv-swarm github review-metrics \
      --period 30d \
      --metrics "issues-found,false-positives,fix-rate,time-to-review" \
      --export-dashboard \
      --format json
    

    🎓 Advanced Features

    Context-Aware Reviews

    Analyze PRs with full project context:

    # Review with comprehensive context
    npx ruv-swarm github review-context \
      --pr 123 \
      --load-related-prs \
      --analyze-impact \
      --check-breaking-changes \
      --dependency-analysis
    

    Learning from History

    Train review agents on your codebase patterns:

    # Learn from past reviews
    npx ruv-swarm github review-learn \
      --analyze-past-reviews \
      --identify-patterns \
      --improve-suggestions \
      --reduce-false-positives
    
    # Train on your codebase
    npx ruv-swarm github review-train \
      --learn-patterns \
      --adapt-to-style \
      --improve-accuracy
    

    Cross-PR Analysis

    Coordinate reviews across related pull requests:

    # Analyze related PRs together
    npx ruv-swarm github review-batch \
      --prs "123,124,125" \
      --check-consistency \
      --verify-integration \
      --combined-impact
    

    Multi-PR Swarm Coordination

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

    🛠️ Custom Review Agents

    Create Custom Agent

    // custom-review-agent.js
    class CustomReviewAgent {
      constructor(config) {
        this.config = config;
        this.rules = config.rules || [];
      }
    
      async review(pr) {
        const issues = [];
    
        // Custom logic: Check for TODO comments in production code
        if (await this.checkTodoComments(pr)) {
          issues.push({
            severity: 'warning',
            file: pr.file,
            line: pr.line,
            message: 'TODO comment found in production code',
            suggestion: 'Resolve TODO or create issue to track it'
          });
        }
    
        // Custom logic: Verify API versioning
        if (await this.checkApiVersioning(pr)) {
          issues.push({
            severity: 'error',
            file: pr.file,
            line: pr.line,
            message: 'API endpoint missing versioning',
            suggestion: 'Add /v1/, /v2/ prefix to API routes'
          });
        }
    
        return issues;
      }
    
      async checkTodoComments(pr) {
        // Implementation
        const todoRegex = /\/\/\s*TODO|\/\*\s*TODO/gi;
        return todoRegex.test(pr.diff);
      }
    
      async checkApiVersioning(pr) {
        // Implementation
        const apiRegex = /app\.(get|post|put|delete)\(['"]\/api\/(?!v\d+)/;
        return apiRegex.test(pr.diff);
      }
    }
    
    module.exports = CustomReviewAgent;
    

    Register Custom Agent

    # Register custom review agent
    npx ruv-swarm github register-agent \
      --name "custom-reviewer" \
      --file "./custom-review-agent.js" \
      --category "standards"
    

    🔧 CI/CD Integration

    Integration with Build Pipeline

    # .github/workflows/build-and-review.yml
    name: Build and Review
    on: [pull_request]
    
    jobs:
      build-and-test:
        runs-on: ubuntu-latest
        steps:
          - uses: actions/checkout@v4
          - run: npm install
          - run: npm test
          - run: npm run build
    
      swarm-review:
        needs: build-and-test
        runs-on: ubuntu-latest
        steps:
          - name: Run Swarm Review
            run: |
              npx ruv-swarm github review-all \
                --pr ${{ github.event.pull_request.number }} \
                --include-build-results
    

    Automated PR Fixes

    # Auto-fix common issues
    npx ruv-swarm github pr-fix 123 \
      --issues "lint,test-failures,formatting" \
      --commit-fixes \
      --push-changes
    

    Progress Updates to PR

    # 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
    

    📋 Complete Workflow Examples

    Example 1: Security-Critical PR

    # Review authentication system changes
    npx ruv-swarm github review-init \
      --pr 456 \
      --agents "security,authentication,audit" \
      --depth "maximum" \
      --require-security-approval \
      --penetration-test
    

    Example 2: Performance-Sensitive PR

    # Review database optimization
    npx ruv-swarm github review-init \
      --pr 789 \
      --agents "performance,database,caching" \
      --benchmark \
      --profile \
      --load-test
    

    Example 3: UI Component PR

    # Review new component library
    npx ruv-swarm github review-init \
      --pr 321 \
      --agents "accessibility,style,i18n,docs" \
      --visual-regression \
      --component-tests \
      --responsive-check
    

    Example 4: Feature Development PR

    # Review new feature implementation
    gh pr view 456 --json body,labels,files | \
      npx ruv-swarm github pr-init 456 \
        --topology hierarchical \
        --agents "architect,coder,tester,security" \
        --auto-assign-tasks
    

    Example 5: Bug Fix PR

    # Review bug fix with debugging focus
    npx ruv-swarm github pr-init 789 \
      --topology mesh \
      --agents "debugger,analyst,tester" \
      --priority high \
      --regression-test
    

    📊 Monitoring & Analytics

    Review Dashboard

    # Launch real-time review dashboard
    npx ruv-swarm github review-dashboard \
      --real-time \
      --show "agent-activity,issue-trends,fix-rates,coverage"
    

    Generate Review Reports

    # Create comprehensive review report
    npx ruv-swarm github review-report \
      --format "markdown" \
      --include "summary,details,trends,recommendations" \
      --email-stakeholders \
      --export-pdf
    

    PR Swarm Analytics

    # Generate PR-specific analytics
    npx ruv-swarm github pr-report 123 \
      --metrics "completion-time,agent-efficiency,token-usage,issue-density" \
      --format markdown \
      --compare-baseline
    

    Export to GitHub Insights

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

    🔐 Security Considerations

    Best Practices

    1. Token Permissions: Ensure GitHub tokens have minimal required scopes
    2. Command Validation: Validate all PR comments before execution
    3. Rate Limiting: Implement rate limits for PR operations
    4. Audit Trail: Log all swarm operations for compliance
    5. Secret Management: Never expose API keys in PR comments or logs

    Security Checklist

    • GitHub token scoped to repository only
    • Webhook signatures verified
    • Command injection protection enabled
    • Rate limiting configured
    • Audit logging enabled
    • Secrets scanning active
    • Branch protection rules enforced

    📚 Best Practices

    1. Review Configuration

    • ✅ Define clear review criteria upfront
    • ✅ Set appropriate severity thresholds
    • ✅ Configure agent specializations for your stack
    • ✅ Establish override procedures for emergencies

    2. Comment Quality

    • ✅ Provide actionable, specific feedback
    • ✅ Include code examples with suggestions
    • ✅ Reference documentation and best practices
    • ✅ Maintain respectful, constructive tone

    3. Performance Optimization

    • ✅ Cache analysis results to avoid redundant work
    • ✅ Use incremental reviews for large PRs
    • ✅ Enable parallel agent execution
    • ✅ Batch comment operations efficiently

    4. PR Templates

    <!-- .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
    - [ ] Task 3 description
    
    ## Review Focus Areas
    - [ ] Security review
    - [ ] Performance analysis
    - [ ] Architecture validation
    - [ ] Accessibility check
    

    5. Auto-Merge When Ready

    # Auto-merge when swarm completes and passes checks
    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
    

    🔗 Integration with Claude Code

    Workflow Pattern

    1. Claude Code reads PR diff and context
    2. Swarm coordinates review approach based on PR type
    3. Agents work in parallel on different review aspects
    4. Progress updates posted to PR automatically
    5. Final review performed before marking ready

    Example: Complete PR Management

    [Single Message - Parallel Execution]:
      // Initialize coordination
      mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 5 }
      mcp__claude-flow__agent_spawn { type: "reviewer", name: "Senior Reviewer" }
      mcp__claude-flow__agent_spawn { type: "tester", name: "QA Engineer" }
      mcp__claude-flow__agent_spawn { type: "coordinator", name: "Merge Coordinator" }
    
      // Create and manage PR using gh CLI
      Bash("gh pr create --title 'Feature: Add authentication' --base main")
      Bash("gh pr view 54 --json files,diff")
      Bash("gh pr review 54 --approve --body 'LGTM after automated review'")
    
      // Execute tests and validation
      Bash("npm test")
      Bash("npm run lint")
      Bash("npm run build")
    
      // Track progress
      TodoWrite { todos: [
        { content: "Complete code review", status: "completed", activeForm: "Completing code review" },
        { content: "Run test suite", status: "completed", activeForm: "Running test suite" },
        { content: "Validate security", status: "completed", activeForm: "Validating security" },
        { content: "Merge when ready", status: "pending", activeForm: "Merging when ready" }
      ]}
    

    🆘 Troubleshooting

    Common Issues

    Solution:

    # Check swarm status
    npx ruv-swarm swarm-status
    
    # Verify GitHub CLI authentication
    gh auth status
    
    # Re-initialize swarm
    npx ruv-swarm github review-init --pr 123 --force
    

    Solution:

    # Verify GitHub token permissions
    gh auth status
    
    # Check API rate limits
    gh api rate_limit
    
    # Use batch comment posting
    npx ruv-swarm github review-comments --pr 123 --batch
    

    Solution:

    # Use incremental review for large PRs
    npx ruv-swarm github review-init --pr 123 --incremental
    
    # Reduce agent count
    npx ruv-swarm github review-init --pr 123 --agents "security,style" --max-agents 3
    
    # Enable parallel processing
    npx ruv-swarm github review-init --pr 123 --parallel --cache-results
    

    📖 Additional Resources

    Related Skills

    • github-pr-manager - Comprehensive PR lifecycle management
    • github-workflow-automation - Automate GitHub workflows
    • swarm-coordination - Advanced swarm orchestration

    Documentation

    Support

    • GitHub Issues: Report bugs and request features
    • Community: Join discussions and share experiences
    • Examples: Browse example configurations and workflows

    📄 License

    This skill is part of the Claude Code Flow project and is licensed under the MIT License.


    Last Updated: 2025-10-19 Version: 1.0.0 Maintainer: Claude Code Flow Team

    Alternatives

    Compare before choosing