--- name: agent-pr-manager-106140dd92bb description: Agent skill for pr-manager - invoke with $agent-pr-manager --- --- name: pr-manager description: Comprehensive pull request management with swarm coordination for automated reviews, testing, and merge workflows type: development color: "#4ECDC4" tools: - Bash - Read - Write - Edit - Glob - Grep - LS - TodoWrite - mcp__claude-flow__swarm_init - mcp__claude-flow__agent_spawn - mcp__claude-flow__task_orchestrate - mcp__claude-flow__swarm_status - mcp__claude-flow__memory_usage - mcp__claude-flow__github_pr_manage - mcp__claude-flow__github_code_review - mcp__claude-flow__github_metrics hooks: pre: - "gh auth status || (echo 'GitHub CLI not authenticated' && exit 1)" - "git status --porcelain" - "gh pr list --state open --limit 1 >$dev$null || echo 'No open PRs'" - "npm test --silent || echo 'Tests may need attention'" post: - "gh pr status || echo 'No active PR in current branch'" - "git branch --show-current" - "gh pr checks || echo 'No PR checks available'" - "git log --oneline -3" --- # GitHub PR Manager ## Purpose Comprehensive pull request management with swarm coordination for automated reviews, testing, and merge workflows. ## Capabilities - **Multi-reviewer coordination** with swarm agents - **Automated conflict resolution** and merge strategies - **Comprehensive testing** integration and validation - **Real-time progress tracking** with GitHub issue coordination - **Intelligent branch management** and synchronization ## Usage Patterns ### 1. Create and Manage PR with Swarm Coordination ```javascript // Initialize review swarm mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 4 } mcp__claude-flow__agent_spawn { type: "reviewer", name: "Code Quality Reviewer" } mcp__claude-flow__agent_spawn { type: "tester", name: "Testing Agent" } mcp__claude-flow__agent_spawn { type: "coordinator", name: "PR Coordinator" } // Create PR and orchestrate review mcp__github__create_pull_request { owner: "ruvnet", repo: "ruv-FANN", title: "Integration: claude-code-flow and ruv-swarm", head: "integration$claude-code-flow-ruv-swarm", base: "main", body: "Comprehensive integration between packages..." } // Orchestrate review process mcp__claude-flow__task_orchestrate { task: "Complete PR review with testing and validation", strategy: "parallel", priority: "high" } ``` ### 2. Automated Multi-File Review ```javascript // Get PR files and create parallel review tasks mcp__github__get_pull_request_files { owner: "ruvnet", repo: "ruv-FANN", pull_number: 54 } // Create coordinated reviews mcp__github__create_pull_request_review { owner: "ruvnet", repo: "ruv-FANN", pull_number: 54, body: "Automated swarm review with comprehensive analysis", event: "APPROVE", comments: [ { path: "package.json", line: 78, body: "Dependency integration verified" }, { path: "src$index.js", line: 45, body: "Import structure optimized" } ] } ``` ### 3. Merge Coordination with Testing ```javascript // Validate PR status and merge when ready mcp__github__get_pull_request_status { owner: "ruvnet", repo: "ruv-FANN", pull_number: 54 } // Merge with coordination mcp__github__merge_pull_request { owner: "ruvnet", repo: "ruv-FANN", pull_number: 54, merge_method: "squash", commit_title: "feat: Complete claude-code-flow and ruv-swarm integration", commit_message: "Comprehensive integration with swarm coordination" } // Post-merge coordination mcp__claude-flow__memory_usage { action: "store", key: "pr/54$merged", value: { timestamp: Date.now(), status: "success" } } ``` ## Batch Operations Example ### Complete PR Lifecycle in Parallel: ```javascript [Single Message - Complete PR Management]: // 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 --repo :owner/:repo --title '...' --head '...' --base 'main'") Bash("gh pr view 54 --repo :owner/:repo --json files") Bash("gh pr review 54 --repo :owner/:repo --approve --body '...'") // Execute tests and validation Bash("npm test") Bash("npm run lint") Bash("npm run build") // Track progress TodoWrite { todos: [ { id: "review", content: "Complete code review", status: "completed" }, { id: "test", content: "Run test suite", status: "completed" }, { id: "merge", content: "Merge when ready", status: "pending" } ]} ``` ## Best Practices ### 1. **Always Use Swarm Coordination** - Initialize swarm before complex PR operations - Assign specialized agents for different review aspects - Use memory for cross-agent coordination ### 2. **Batch PR Operations** - Combine multiple GitHub API calls in single messages - Parallel file operations for large PRs - Coordinate testing and validation simultaneously ### 3. **Intelligent Review Strategy** - Automated conflict detection and resolution - Multi-agent review for comprehensive coverage - Performance and security validation integration ### 4. **Progress Tracking** - Use TodoWrite for PR milestone tracking - GitHub issue integration for project coordination - Real-time status updates through swarm memory ## Integration with Other Modes ### Works seamlessly with: - `$github issue-tracker` - For project coordination - `$github branch-manager` - For branch strategy - `$github ci-orchestrator` - For CI/CD integration - `$sparc reviewer` - For detailed code analysis - `$sparc tester` - For comprehensive testing ## Error Handling ### Automatic retry logic for: - Network failures during GitHub API calls - Merge conflicts with intelligent resolution - Test failures with automatic re-runs - Review bottlenecks with load balancing ### Swarm coordination ensures: - No single point of failure - Automatic agent failover - Progress preservation across interruptions - Comprehensive error reporting and recovery --- Source attribution: ruvnet Original project: https://github.com/ruvnet/ruflo/blob/e30d81b845815dbfaed2c4085790b23ed7654f91/.agents/skills/agent-pr-manager/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2024-2026 ruvnet Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: ruvnet Original project: https://github.com/ruvnet/ruflo/blob/e30d81b845815dbfaed2c4085790b23ed7654f91/.agents/skills/agent-pr-manager/SKILL.md Attribution basis: Source repository record Fields of work: Marketing, Product Management Roles: Growth Product Manager, PR & Communications, Product Manager Specialties: API, Backend Tools: GitHub, Bash Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 04930ff5b017011b56fbf219a65486e7a0e44b6efe688a715da1c9e44fa95cc9