git clone https://github.com/MacPhobos/research-mind
T=$(mktemp -d) && git clone --depth=1 https://github.com/MacPhobos/research-mind "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/mpm-delegation-patterns" ~/.claude/skills/macphobos-research-mind-pm-delegation-patterns && rm -rf "$T"
.claude/skills/mpm-delegation-patterns/SKILL.mdCommon Delegation Patterns
Full Stack Feature
Workflow: Research → Analyzer → react-engineer + Engineer → Ops (deploy) → Ops (VERIFY) → api-qa + web-qa → Docs
When: Complete feature requiring frontend, backend, and deployment
Example:
User: "Add user dashboard with analytics" PM delegates: 1. Research: Investigate dashboard frameworks and analytics libraries 2. Code Analyzer: Review solution approach 3. react-engineer: Build dashboard UI components 4. Engineer: Implement analytics API endpoints 5. Ops: Deploy to staging 6. Ops: Verify deployment (health checks, logs) 7. api-qa: Test API endpoints 8. web-qa: Test dashboard UI 9. Documentation: Update API docs and user guide
API Development
Workflow: Research → Analyzer → Engineer → Deploy (if needed) → Ops (VERIFY) → web-qa (fetch tests) → Docs
When: Backend API implementation without frontend
Example:
User: "Create REST API for user management" PM delegates: 1. Research: API design patterns, authentication 2. Code Analyzer: Review API design 3. Engineer: Implement API endpoints 4. Ops: Deploy API to staging (if needed) 5. Ops: Verify deployment 6. web-qa: Run fetch tests on endpoints 7. Documentation: Generate API documentation
Web UI
Workflow: Research → Analyzer → web-ui/react-engineer → Ops (deploy) → Ops (VERIFY with Playwright) → web-qa → Docs
When: Frontend-only changes
Example:
User: "Redesign landing page" PM delegates: 1. Research: UI/UX best practices, component libraries 2. Code Analyzer: Review design approach 3. react-engineer: Implement new landing page 4. Ops: Deploy to staging 5. Ops: Verify deployment with Playwright 6. web-qa: Visual regression testing 7. Documentation: Update component documentation
Local Development
Workflow: Research → Analyzer → Engineer → local-ops (PM2/Docker) → local-ops (VERIFY logs+fetch) → QA → Docs
When: Working with localhost, PM2, Docker, or local processes
Example:
User: "Set up local development server" PM delegates: 1. Research: Local development setup best practices 2. Code Analyzer: Review setup approach 3. Engineer: Configure development environment 4. local-ops: Start server with PM2/Docker 5. local-ops: Verify server running (lsof, curl, logs) 6. QA: Test local endpoints 7. Documentation: Update setup guide
Bug Fix
Workflow: Research → Analyzer → Engineer → Deploy → Ops (VERIFY) → web-qa (regression) → version-control
When: Fixing reported bugs
Example:
User: "Fix login error on Safari" PM delegates: 1. Research: Investigate Safari-specific issues 2. Code Analyzer: Review fix approach 3. Engineer: Implement fix 4. Ops: Deploy fix to staging 5. Ops: Verify deployment 6. web-qa: Run regression tests, verify Safari fix 7. version-control: Create PR with fix
Vercel Site
Workflow: Research → Analyzer → Engineer → vercel-ops (deploy) → vercel-ops (VERIFY) → web-qa → Docs
When: Vercel-hosted applications
Example:
User: "Deploy blog to Vercel" PM delegates: 1. Research: Vercel deployment best practices 2. Code Analyzer: Review deployment config 3. Engineer: Configure Vercel settings 4. vercel-ops: Deploy to Vercel 5. vercel-ops: Verify deployment (health check) 6. web-qa: Test deployed site 7. Documentation: Update deployment guide
Railway App
Workflow: Research → Analyzer → Engineer → railway-ops (deploy) → railway-ops (VERIFY) → api-qa → Docs
When: Railway-hosted applications
Example:
User: "Deploy API to Railway" PM delegates: 1. Research: Railway deployment patterns 2. Code Analyzer: Review Railway config 3. Engineer: Configure Railway settings 4. railway-ops: Deploy to Railway 5. railway-ops: Verify deployment 6. api-qa: Test API endpoints 7. Documentation: Update deployment docs
Agent Selection by Trigger Keywords
| Keywords | Agent | Use Case |
|---|---|---|
| localhost, PM2, docker-compose, port, process | local-ops | Local development |
| vercel, edge function, serverless | vercel-ops | Vercel platform |
| railway, nixpacks | railway-ops | Railway platform |
| gcp, google cloud, IAM, OAuth consent | gcp-ops | Google Cloud |
| clerk, auth middleware, OAuth provider | clerk-ops | Clerk authentication |
| browser, screenshot, click, navigate, DOM | web-qa | Browser testing |
| ticket, issue, PROJ-123, #123 | ticketing | Ticket operations |
| skill, stack, framework | mpm-skills-manager | Skill management |
Delegation Best Practices
- Provide Context: Include relevant background for agent
- Clear Acceptance Criteria: Define completion criteria
- Wait for Completion: Don't interrupt agent work
- Collect Evidence: Get specific artifacts from agents
- Immediate File Tracking: Track files right after agent creates them
- Chain Verification: QA verification after implementation