feat: CRM Clinicas SaaS - MVP completo
- Auth: Login/Register con creacion de clinica - Dashboard: KPIs reales, graficas recharts - Pacientes: CRUD completo con busqueda - Agenda: FullCalendar, drag-and-drop, vista recepcion - Expediente: Notas SOAP, signos vitales, CIE-10 - Facturacion: Facturas con IVA, campos CFDI SAT - Inventario: Productos, stock, movimientos, alertas - Configuracion: Clinica, equipo, catalogo servicios - Supabase self-hosted: 18 tablas con RLS multi-tenant - Docker + Nginx para produccion Co-Authored-By: claude-flow <ruv@ruv.net>
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.claude/commands/github/pr-manager.md
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.claude/commands/github/pr-manager.md
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# GitHub PR Manager
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## Purpose
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Comprehensive pull request management with ruv-swarm coordination for automated reviews, testing, and merge workflows.
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## Capabilities
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- **Multi-reviewer coordination** with swarm agents
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- **Automated conflict resolution** and merge strategies
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- **Comprehensive testing** integration and validation
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- **Real-time progress tracking** with GitHub issue coordination
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- **Intelligent branch management** and synchronization
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## Tools Available
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- `mcp__github__create_pull_request`
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- `mcp__github__get_pull_request`
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- `mcp__github__list_pull_requests`
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- `mcp__github__create_pull_request_review`
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- `mcp__github__merge_pull_request`
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- `mcp__github__get_pull_request_files`
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- `mcp__github__get_pull_request_status`
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- `mcp__github__update_pull_request_branch`
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- `mcp__github__get_pull_request_comments`
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- `mcp__github__get_pull_request_reviews`
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- `mcp__claude-flow__*` (all swarm coordination tools)
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- `TodoWrite`, `TodoRead`, `Task`, `Bash`, `Read`, `Write`
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## Usage Patterns
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### 1. Create and Manage PR with Swarm Coordination
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```javascript
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// Initialize review swarm
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mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 4 }
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mcp__claude-flow__agent_spawn { type: "reviewer", name: "Code Quality Reviewer" }
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mcp__claude-flow__agent_spawn { type: "tester", name: "Testing Agent" }
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mcp__claude-flow__agent_spawn { type: "coordinator", name: "PR Coordinator" }
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// Create PR and orchestrate review
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mcp__github__create_pull_request {
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owner: "ruvnet",
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repo: "ruv-FANN",
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title: "Integration: claude-code-flow and ruv-swarm",
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head: "integration/claude-code-flow-ruv-swarm",
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base: "main",
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body: "Comprehensive integration between packages..."
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}
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// Orchestrate review process
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mcp__claude-flow__task_orchestrate {
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task: "Complete PR review with testing and validation",
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strategy: "parallel",
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priority: "high"
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}
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```
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### 2. Automated Multi-File Review
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```javascript
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// Get PR files and create parallel review tasks
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mcp__github__get_pull_request_files { owner: "ruvnet", repo: "ruv-FANN", pull_number: 54 }
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// Create coordinated reviews
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mcp__github__create_pull_request_review {
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owner: "ruvnet",
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repo: "ruv-FANN",
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pull_number: 54,
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body: "Automated swarm review with comprehensive analysis",
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event: "APPROVE",
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comments: [
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{ path: "package.json", line: 78, body: "Dependency integration verified" },
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{ path: "src/index.js", line: 45, body: "Import structure optimized" }
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]
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}
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```
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### 3. Merge Coordination with Testing
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```javascript
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// Validate PR status and merge when ready
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mcp__github__get_pull_request_status { owner: "ruvnet", repo: "ruv-FANN", pull_number: 54 }
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// Merge with coordination
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mcp__github__merge_pull_request {
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owner: "ruvnet",
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repo: "ruv-FANN",
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pull_number: 54,
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merge_method: "squash",
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commit_title: "feat: Complete claude-code-flow and ruv-swarm integration",
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commit_message: "Comprehensive integration with swarm coordination"
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}
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// Post-merge coordination
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mcp__claude-flow__memory_usage {
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action: "store",
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key: "pr/54/merged",
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value: { timestamp: Date.now(), status: "success" }
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}
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```
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## Batch Operations Example
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### Complete PR Lifecycle in Parallel:
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```javascript
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[Single Message - Complete PR Management]:
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// Initialize coordination
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mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 5 }
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mcp__claude-flow__agent_spawn { type: "reviewer", name: "Senior Reviewer" }
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mcp__claude-flow__agent_spawn { type: "tester", name: "QA Engineer" }
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mcp__claude-flow__agent_spawn { type: "coordinator", name: "Merge Coordinator" }
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// Create and manage PR using gh CLI
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Bash("gh pr create --repo :owner/:repo --title '...' --head '...' --base 'main'")
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Bash("gh pr view 54 --repo :owner/:repo --json files")
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Bash("gh pr review 54 --repo :owner/:repo --approve --body '...'")
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// Execute tests and validation
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Bash("npm test")
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Bash("npm run lint")
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Bash("npm run build")
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// Track progress
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TodoWrite { todos: [
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{ id: "review", content: "Complete code review", status: "completed" },
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{ id: "test", content: "Run test suite", status: "completed" },
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{ id: "merge", content: "Merge when ready", status: "pending" }
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]}
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```
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## Best Practices
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### 1. **Always Use Swarm Coordination**
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- Initialize swarm before complex PR operations
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- Assign specialized agents for different review aspects
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- Use memory for cross-agent coordination
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### 2. **Batch PR Operations**
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- Combine multiple GitHub API calls in single messages
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- Parallel file operations for large PRs
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- Coordinate testing and validation simultaneously
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### 3. **Intelligent Review Strategy**
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- Automated conflict detection and resolution
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- Multi-agent review for comprehensive coverage
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- Performance and security validation integration
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### 4. **Progress Tracking**
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- Use TodoWrite for PR milestone tracking
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- GitHub issue integration for project coordination
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- Real-time status updates through swarm memory
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## Integration with Other Modes
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### Works seamlessly with:
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- `/github issue-tracker` - For project coordination
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- `/github branch-manager` - For branch strategy
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- `/github ci-orchestrator` - For CI/CD integration
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- `/sparc reviewer` - For detailed code analysis
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- `/sparc tester` - For comprehensive testing
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## Error Handling
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### Automatic retry logic for:
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- Network failures during GitHub API calls
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- Merge conflicts with intelligent resolution
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- Test failures with automatic re-runs
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- Review bottlenecks with load balancing
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### Swarm coordination ensures:
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- No single point of failure
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- Automatic agent failover
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- Progress preservation across interruptions
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- Comprehensive error reporting and recovery
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