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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Consultoria AS
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.claude/commands/github/issue-tracker.md
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.claude/commands/github/issue-tracker.md
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# GitHub Issue Tracker
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## Purpose
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Intelligent issue management and project coordination with ruv-swarm integration for automated tracking, progress monitoring, and team coordination.
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## Capabilities
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- **Automated issue creation** with smart templates and labeling
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- **Progress tracking** with swarm-coordinated updates
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- **Multi-agent collaboration** on complex issues
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- **Project milestone coordination** with integrated workflows
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- **Cross-repository issue synchronization** for monorepo management
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## Tools Available
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- `mcp__github__create_issue`
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- `mcp__github__list_issues`
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- `mcp__github__get_issue`
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- `mcp__github__update_issue`
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- `mcp__github__add_issue_comment`
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- `mcp__github__search_issues`
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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 Coordinated Issue with Swarm Tracking
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```javascript
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// Initialize issue management swarm
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mcp__claude-flow__swarm_init { topology: "star", maxAgents: 3 }
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mcp__claude-flow__agent_spawn { type: "coordinator", name: "Issue Coordinator" }
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mcp__claude-flow__agent_spawn { type: "researcher", name: "Requirements Analyst" }
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mcp__claude-flow__agent_spawn { type: "coder", name: "Implementation Planner" }
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// Create comprehensive issue
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mcp__github__create_issue {
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owner: "ruvnet",
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repo: "ruv-FANN",
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title: "Integration Review: claude-code-flow and ruv-swarm complete integration",
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body: `## 🔄 Integration Review
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### Overview
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Comprehensive review and integration between packages.
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### Objectives
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- [ ] Verify dependencies and imports
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- [ ] Ensure MCP tools integration
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- [ ] Check hook system integration
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- [ ] Validate memory systems alignment
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### Swarm Coordination
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This issue will be managed by coordinated swarm agents for optimal progress tracking.`,
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labels: ["integration", "review", "enhancement"],
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assignees: ["ruvnet"]
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}
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// Set up automated tracking
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mcp__claude-flow__task_orchestrate {
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task: "Monitor and coordinate issue progress with automated updates",
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strategy: "adaptive",
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priority: "medium"
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}
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```
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### 2. Automated Progress Updates
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```javascript
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// Update issue with progress from swarm memory
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mcp__claude-flow__memory_usage {
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action: "retrieve",
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key: "issue/54/progress"
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}
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// Add coordinated progress comment
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mcp__github__add_issue_comment {
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owner: "ruvnet",
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repo: "ruv-FANN",
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issue_number: 54,
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body: `## 🚀 Progress Update
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### Completed Tasks
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- ✅ Architecture review completed (agent-1751574161764)
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- ✅ Dependency analysis finished (agent-1751574162044)
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- ✅ Integration testing verified (agent-1751574162300)
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### Current Status
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- 🔄 Documentation review in progress
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- 📊 Integration score: 89% (Excellent)
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### Next Steps
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- Final validation and merge preparation
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---
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🤖 Generated with Claude Code using ruv-swarm coordination`
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}
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// Store progress in swarm memory
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mcp__claude-flow__memory_usage {
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action: "store",
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key: "issue/54/latest_update",
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value: { timestamp: Date.now(), progress: "89%", status: "near_completion" }
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}
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```
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### 3. Multi-Issue Project Coordination
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```javascript
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// Search and coordinate related issues
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mcp__github__search_issues {
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q: "repo:ruvnet/ruv-FANN label:integration state:open",
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sort: "created",
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order: "desc"
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}
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// Create coordinated issue updates
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mcp__github__update_issue {
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owner: "ruvnet",
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repo: "ruv-FANN",
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issue_number: 54,
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state: "open",
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labels: ["integration", "review", "enhancement", "in-progress"],
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milestone: 1
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}
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```
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## Batch Operations Example
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### Complete Issue Management Workflow:
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```javascript
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[Single Message - Issue Lifecycle Management]:
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// Initialize issue coordination swarm
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mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 4 }
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mcp__claude-flow__agent_spawn { type: "coordinator", name: "Issue Manager" }
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mcp__claude-flow__agent_spawn { type: "analyst", name: "Progress Tracker" }
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mcp__claude-flow__agent_spawn { type: "researcher", name: "Context Gatherer" }
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// Create multiple related issues using gh CLI
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Bash(`gh issue create \
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--repo :owner/:repo \
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--title "Feature: Advanced GitHub Integration" \
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--body "Implement comprehensive GitHub workflow automation..." \
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--label "feature,github,high-priority"`)
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Bash(`gh issue create \
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--repo :owner/:repo \
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--title "Bug: PR merge conflicts in integration branch" \
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--body "Resolve merge conflicts in integration/claude-code-flow-ruv-swarm..." \
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--label "bug,integration,urgent"`)
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Bash(`gh issue create \
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--repo :owner/:repo \
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--title "Documentation: Update integration guides" \
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--body "Update all documentation to reflect new GitHub workflows..." \
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--label "documentation,integration"`)
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// Set up coordinated tracking
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TodoWrite { todos: [
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{ id: "github-feature", content: "Implement GitHub integration", status: "pending", priority: "high" },
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{ id: "merge-conflicts", content: "Resolve PR conflicts", status: "pending", priority: "critical" },
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{ id: "docs-update", content: "Update documentation", status: "pending", priority: "medium" }
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]}
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// Store initial coordination state
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mcp__claude-flow__memory_usage {
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action: "store",
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key: "project/github_integration/issues",
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value: { created: Date.now(), total_issues: 3, status: "initialized" }
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}
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```
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## Smart Issue Templates
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### Integration Issue Template:
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```markdown
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## 🔄 Integration Task
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### Overview
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[Brief description of integration requirements]
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### Objectives
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- [ ] Component A integration
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- [ ] Component B validation
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- [ ] Testing and verification
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- [ ] Documentation updates
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### Integration Areas
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#### Dependencies
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- [ ] Package.json updates
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- [ ] Version compatibility
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- [ ] Import statements
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#### Functionality
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- [ ] Core feature integration
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- [ ] API compatibility
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- [ ] Performance validation
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#### Testing
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- [ ] Unit tests
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- [ ] Integration tests
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- [ ] End-to-end validation
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### Swarm Coordination
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- **Coordinator**: Overall progress tracking
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- **Analyst**: Technical validation
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- **Tester**: Quality assurance
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- **Documenter**: Documentation updates
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### Progress Tracking
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Updates will be posted automatically by swarm agents during implementation.
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---
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🤖 Generated with Claude Code
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```
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### Bug Report Template:
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```markdown
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## 🐛 Bug Report
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### Problem Description
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[Clear description of the issue]
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### Expected Behavior
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[What should happen]
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### Actual Behavior
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[What actually happens]
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### Reproduction Steps
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1. [Step 1]
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2. [Step 2]
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3. [Step 3]
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### Environment
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- Package: [package name and version]
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- Node.js: [version]
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- OS: [operating system]
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### Investigation Plan
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- [ ] Root cause analysis
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- [ ] Fix implementation
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- [ ] Testing and validation
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- [ ] Regression testing
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### Swarm Assignment
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- **Debugger**: Issue investigation
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- **Coder**: Fix implementation
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- **Tester**: Validation and testing
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---
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🤖 Generated with Claude Code
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```
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## Best Practices
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### 1. **Swarm-Coordinated Issue Management**
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- Always initialize swarm for complex issues
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- Assign specialized agents based on issue type
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- Use memory for progress coordination
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### 2. **Automated Progress Tracking**
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- Regular automated updates with swarm coordination
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- Progress metrics and completion tracking
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- Cross-issue dependency management
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### 3. **Smart Labeling and Organization**
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- Consistent labeling strategy across repositories
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- Priority-based issue sorting and assignment
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- Milestone integration for project coordination
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### 4. **Batch Issue Operations**
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- Create multiple related issues simultaneously
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- Bulk updates for project-wide changes
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- Coordinated cross-repository issue management
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## Integration with Other Modes
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### Seamless integration with:
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- `/github pr-manager` - Link issues to pull requests
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- `/github release-manager` - Coordinate release issues
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- `/sparc orchestrator` - Complex project coordination
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- `/sparc tester` - Automated testing workflows
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## Metrics and Analytics
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### Automatic tracking of:
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- Issue creation and resolution times
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- Agent productivity metrics
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- Project milestone progress
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- Cross-repository coordination efficiency
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### Reporting features:
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- Weekly progress summaries
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- Agent performance analytics
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- Project health metrics
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- Integration success rates
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