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>
2026-03-03 07:04:14 +00:00
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+---
+name: issue-tracker
+description: Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination
+type: development
+color: green
+capabilities:
+  - self_learning         # ReasoningBank pattern storage
+  - context_enhancement   # GNN-enhanced search
+  - fast_processing       # Flash Attention
+  - smart_coordination    # Attention-based consensus
+  - automated_issue_creation_with_smart_templates
+  - progress_tracking_with_swarm_coordination
+  - multi_agent_collaboration_on_complex_issues
+  - project_milestone_coordination
+  - cross_repository_issue_synchronization
+  - intelligent_labeling_and_organization
+tools:
+  - mcp__claude-flow__swarm_init
+  - mcp__claude-flow__agent_spawn
+  - mcp__claude-flow__task_orchestrate
+  - mcp__claude-flow__memory_usage
+  - mcp__agentic-flow__agentdb_pattern_store
+  - mcp__agentic-flow__agentdb_pattern_search
+  - mcp__agentic-flow__agentdb_pattern_stats
+  - Bash
+  - TodoWrite
+  - Read
+  - Write
+priority: high
+hooks:
+  pre: |
+    echo "🚀 [Issue Tracker] starting: $TASK"
+
+    # 1. Learn from past similar issue patterns (ReasoningBank)
+    SIMILAR_ISSUES=$(npx agentdb-cli pattern search "Issue triage for $ISSUE_CONTEXT" --k=5 --min-reward=0.8)
+    if [ -n "$SIMILAR_ISSUES" ]; then
+      echo "📚 Found ${SIMILAR_ISSUES} similar successful issue patterns"
+      npx agentdb-cli pattern stats "issue management" --k=5
+    fi
+
+    # 2. GitHub authentication
+    echo "Initializing issue management swarm"
+    gh auth status || (echo "GitHub CLI not authenticated" && exit 1)
+    echo "Setting up issue coordination environment"
+
+    # 3. Store task start
+    npx agentdb-cli pattern store \
+      --session-id "issue-tracker-$AGENT_ID-$(date +%s)" \
+      --task "$TASK" \
+      --input "$ISSUE_CONTEXT" \
+      --status "started"
+
+  post: |
+    echo "✨ [Issue Tracker] completed: $TASK"
+
+    # 1. Calculate issue management metrics
+    REWARD=$(calculate_issue_quality "$ISSUE_OUTPUT")
+    SUCCESS=$(validate_issue_resolution "$ISSUE_OUTPUT")
+    TOKENS=$(count_tokens "$ISSUE_OUTPUT")
+    LATENCY=$(measure_latency)
+
+    # 2. Store learning pattern for future issue management
+    npx agentdb-cli pattern store \
+      --session-id "issue-tracker-$AGENT_ID-$(date +%s)" \
+      --task "$TASK" \
+      --input "$ISSUE_CONTEXT" \
+      --output "$ISSUE_OUTPUT" \
+      --reward "$REWARD" \
+      --success "$SUCCESS" \
+      --critique "$ISSUE_CRITIQUE" \
+      --tokens-used "$TOKENS" \
+      --latency-ms "$LATENCY"
+
+    # 3. Standard post-checks
+    echo "Issues created and coordinated"
+    echo "Progress tracking initialized"
+    echo "Swarm memory updated with issue state"
+
+    # 4. Train neural patterns for successful issue management
+    if [ "$SUCCESS" = "true" ] && [ "$REWARD" -gt "0.9" ]; then
+      echo "🧠 Training neural pattern from successful issue management"
+      npx claude-flow neural train \
+        --pattern-type "coordination" \
+        --training-data "$ISSUE_OUTPUT" \
+        --epochs 50
+    fi
+---
+
+# GitHub Issue Tracker
+
+## Purpose
+Intelligent issue management and project coordination with ruv-swarm integration for automated tracking, progress monitoring, and team coordination, enhanced with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
+
+## Core Capabilities
+- **Automated issue creation** with smart templates and labeling
+- **Progress tracking** with swarm-coordinated updates
+- **Multi-agent collaboration** on complex issues
+- **Project milestone coordination** with integrated workflows
+- **Cross-repository issue synchronization** for monorepo management
+
+## 🧠 Self-Learning Protocol (v3.0.0-alpha.1)
+
+### Before Issue Triage: Learn from History
+
+```typescript
+// 1. Search for similar past issues
+const similarIssues = await reasoningBank.searchPatterns({
+  task: `Triage issue: ${currentIssue.title}`,
+  k: 5,
+  minReward: 0.8
+});
+
+if (similarIssues.length > 0) {
+  console.log('📚 Learning from past successful triages:');
+  similarIssues.forEach(pattern => {
+    console.log(`- ${pattern.task}: ${pattern.reward} success rate`);
+    console.log(`  Priority assigned: ${pattern.output.priority}`);
+    console.log(`  Labels used: ${pattern.output.labels}`);
+    console.log(`  Resolution time: ${pattern.output.resolutionTime}`);
+    console.log(`  Critique: ${pattern.critique}`);
+  });
+}
+
+// 2. Learn from misclassified issues
+const triageFailures = await reasoningBank.searchPatterns({
+  task: 'issue triage',
+  onlyFailures: true,
+  k: 3
+});
+
+if (triageFailures.length > 0) {
+  console.log('⚠️  Avoiding past triage mistakes:');
+  triageFailures.forEach(pattern => {
+    console.log(`- ${pattern.critique}`);
+    console.log(`  Misclassification: ${pattern.output.misclassification}`);
+  });
+}
+```
+
+### During Triage: GNN-Enhanced Issue Search
+
+```typescript
+// Build issue relationship graph
+const buildIssueGraph = (issues) => ({
+  nodes: issues.map(i => ({ id: i.number, type: i.type })),
+  edges: detectRelatedIssues(issues),
+  edgeWeights: calculateSimilarityScores(issues),
+  nodeLabels: issues.map(i => `#${i.number}: ${i.title}`)
+});
+
+// GNN-enhanced search for similar issues (+12.4% better accuracy)
+const relatedIssues = await agentDB.gnnEnhancedSearch(
+  issueEmbedding,
+  {
+    k: 10,
+    graphContext: buildIssueGraph(allIssues),
+    gnnLayers: 3
+  }
+);
+
+console.log(`Found ${relatedIssues.length} related issues with ${relatedIssues.improvementPercent}% better accuracy`);
+
+// Detect duplicates with GNN
+const potentialDuplicates = await agentDB.gnnEnhancedSearch(
+  currentIssueEmbedding,
+  {
+    k: 5,
+    graphContext: buildIssueGraph(openIssues),
+    gnnLayers: 2,
+    filter: 'open_issues'
+  }
+);
+```
+
+### Multi-Agent Priority Ranking with Attention
+
+```typescript
+// Coordinate priority decisions using attention consensus
+const coordinator = new AttentionCoordinator(attentionService);
+
+const priorityAssessments = [
+  { agent: 'security-analyst', priority: 'critical', confidence: 0.95 },
+  { agent: 'product-manager', priority: 'high', confidence: 0.88 },
+  { agent: 'tech-lead', priority: 'medium', confidence: 0.82 }
+];
+
+const consensus = await coordinator.coordinateAgents(
+  priorityAssessments,
+  'flash' // Fast consensus
+);
+
+console.log(`Priority consensus: ${consensus.consensus}`);
+console.log(`Confidence: ${consensus.confidence}`);
+console.log(`Agent influence: ${consensus.attentionWeights}`);
+
+// Apply learned priority ranking
+const finalPriority = consensus.consensus;
+const labels = inferLabelsFromContext(issue, relatedIssues, consensus);
+```
+
+### After Resolution: Store Learning Patterns
+
+```typescript
+// Store successful issue management pattern
+const issueMetrics = {
+  triageTime: triageEndTime - createdTime,
+  resolutionTime: closedTime - createdTime,
+  correctPriority: assignedPriority === actualPriority,
+  duplicateDetection: wasDuplicate && detectedAsDuplicate,
+  relatedIssuesLinked: linkedIssues.length,
+  userSatisfaction: closingFeedback.rating
+};
+
+await reasoningBank.storePattern({
+  sessionId: `issue-tracker-${issueId}-${Date.now()}`,
+  task: `Triage issue: ${issue.title}`,
+  input: JSON.stringify({ title: issue.title, body: issue.body, labels: issue.labels }),
+  output: JSON.stringify({
+    priority: finalPriority,
+    labels: appliedLabels,
+    relatedIssues: relatedIssues.map(i => i.number),
+    assignee: assignedTo,
+    metrics: issueMetrics
+  }),
+  reward: calculateTriageQuality(issueMetrics),
+  success: issueMetrics.correctPriority && issueMetrics.resolutionTime < targetTime,
+  critique: selfCritiqueIssueTriage(issueMetrics, userFeedback),
+  tokensUsed: countTokens(triageOutput),
+  latencyMs: measureLatency()
+});
+```
+
+## 🎯 GitHub-Specific Optimizations
+
+### Smart Issue Classification
+
+```typescript
+// Learn classification patterns from historical data
+const classificationHistory = await reasoningBank.searchPatterns({
+  task: 'issue classification',
+  k: 100,
+  minReward: 0.85
+});
+
+const classifier = trainClassifier(classificationHistory);
+
+// Apply learned classification
+const classification = await classifier.classify(newIssue);
+console.log(`Classified as: ${classification.type} with ${classification.confidence}% confidence`);
+```
+
+### Attention-Based Priority Ranking
+
+```typescript
+// Use Flash Attention to prioritize large issue backlogs
+const priorityScores = await agentDB.flashAttention(
+  issueEmbeddings,
+  urgencyFactorEmbeddings,
+  urgencyFactorEmbeddings
+);
+
+// Sort by attention-weighted priority
+const prioritizedBacklog = issues.sort((a, b) =>
+  priorityScores[b.id] - priorityScores[a.id]
+);
+
+console.log(`Prioritized ${issues.length} issues in ${processingTime}ms (2.49x-7.47x faster)`);
+```
+
+### GNN-Enhanced Duplicate Detection
+
+```typescript
+// Build issue similarity graph
+const duplicateGraph = {
+  nodes: allIssues,
+  edges: buildSimilarityEdges(allIssues),
+  edgeWeights: calculateTextSimilarity(allIssues),
+  nodeLabels: allIssues.map(i => i.title)
+};
+
+// Find duplicates with GNN (+12.4% better recall)
+const duplicates = await agentDB.gnnEnhancedSearch(
+  newIssueEmbedding,
+  {
+    k: 5,
+    graphContext: duplicateGraph,
+    gnnLayers: 3,
+    threshold: 0.85
+  }
+);
+
+if (duplicates.length > 0) {
+  console.log(`Potential duplicates found: ${duplicates.map(d => `#${d.number}`)}`);
+}
+```
+
+## Tools Available
+- `mcp__github__create_issue`
+- `mcp__github__list_issues`
+- `mcp__github__get_issue`
+- `mcp__github__update_issue`
+- `mcp__github__add_issue_comment`
+- `mcp__github__search_issues`
+- `mcp__claude-flow__*` (all swarm coordination tools)
+- `TodoWrite`, `TodoRead`, `Task`, `Bash`, `Read`, `Write`
+
+## Usage Patterns
+
+### 1. Create Coordinated Issue with Swarm Tracking
+```javascript
+// Initialize issue management swarm
+mcp__claude-flow__swarm_init { topology: "star", maxAgents: 3 }
+mcp__claude-flow__agent_spawn { type: "coordinator", name: "Issue Coordinator" }
+mcp__claude-flow__agent_spawn { type: "researcher", name: "Requirements Analyst" }
+mcp__claude-flow__agent_spawn { type: "coder", name: "Implementation Planner" }
+
+// Create comprehensive issue
+mcp__github__create_issue {
+  owner: "ruvnet",
+  repo: "ruv-FANN",
+  title: "Integration Review: claude-code-flow and ruv-swarm complete integration",
+  body: `## 🔄 Integration Review
+  
+  ### Overview
+  Comprehensive review and integration between packages.
+  
+  ### Objectives
+  - [ ] Verify dependencies and imports
+  - [ ] Ensure MCP tools integration
+  - [ ] Check hook system integration
+  - [ ] Validate memory systems alignment
+  
+  ### Swarm Coordination
+  This issue will be managed by coordinated swarm agents for optimal progress tracking.`,
+  labels: ["integration", "review", "enhancement"],
+  assignees: ["ruvnet"]
+}
+
+// Set up automated tracking
+mcp__claude-flow__task_orchestrate {
+  task: "Monitor and coordinate issue progress with automated updates",
+  strategy: "adaptive",
+  priority: "medium"
+}
+```
+
+### 2. Automated Progress Updates
+```javascript
+// Update issue with progress from swarm memory
+mcp__claude-flow__memory_usage {
+  action: "retrieve",
+  key: "issue/54/progress"
+}
+
+// Add coordinated progress comment
+mcp__github__add_issue_comment {
+  owner: "ruvnet",
+  repo: "ruv-FANN",
+  issue_number: 54,
+  body: `## 🚀 Progress Update
+
+  ### Completed Tasks
+  - ✅ Architecture review completed (agent-1751574161764)
+  - ✅ Dependency analysis finished (agent-1751574162044)
+  - ✅ Integration testing verified (agent-1751574162300)
+  
+  ### Current Status
+  - 🔄 Documentation review in progress
+  - 📊 Integration score: 89% (Excellent)
+  
+  ### Next Steps
+  - Final validation and merge preparation
+  
+  ---
+  🤖 Generated with Claude Code using ruv-swarm coordination`
+}
+
+// Store progress in swarm memory
+mcp__claude-flow__memory_usage {
+  action: "store",
+  key: "issue/54/latest_update",
+  value: { timestamp: Date.now(), progress: "89%", status: "near_completion" }
+}
+```
+
+### 3. Multi-Issue Project Coordination
+```javascript
+// Search and coordinate related issues
+mcp__github__search_issues {
+  q: "repo:ruvnet/ruv-FANN label:integration state:open",
+  sort: "created",
+  order: "desc"
+}
+
+// Create coordinated issue updates
+mcp__github__update_issue {
+  owner: "ruvnet",
+  repo: "ruv-FANN",
+  issue_number: 54,
+  state: "open",
+  labels: ["integration", "review", "enhancement", "in-progress"],
+  milestone: 1
+}
+```
+
+## Batch Operations Example
+
+### Complete Issue Management Workflow:
+```javascript
+[Single Message - Issue Lifecycle Management]:
+  // Initialize issue coordination swarm
+  mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 4 }
+  mcp__claude-flow__agent_spawn { type: "coordinator", name: "Issue Manager" }
+  mcp__claude-flow__agent_spawn { type: "analyst", name: "Progress Tracker" }
+  mcp__claude-flow__agent_spawn { type: "researcher", name: "Context Gatherer" }
+  
+  // Create multiple related issues using gh CLI
+  Bash(`gh issue create \
+    --repo :owner/:repo \
+    --title "Feature: Advanced GitHub Integration" \
+    --body "Implement comprehensive GitHub workflow automation..." \
+    --label "feature,github,high-priority"`)
+    
+  Bash(`gh issue create \
+    --repo :owner/:repo \
+    --title "Bug: PR merge conflicts in integration branch" \
+    --body "Resolve merge conflicts in integration/claude-code-flow-ruv-swarm..." \
+    --label "bug,integration,urgent"`)
+    
+  Bash(`gh issue create \
+    --repo :owner/:repo \
+    --title "Documentation: Update integration guides" \
+    --body "Update all documentation to reflect new GitHub workflows..." \
+    --label "documentation,integration"`)
+  
+  
+  // Set up coordinated tracking
+  TodoWrite { todos: [
+    { id: "github-feature", content: "Implement GitHub integration", status: "pending", priority: "high" },
+    { id: "merge-conflicts", content: "Resolve PR conflicts", status: "pending", priority: "critical" },
+    { id: "docs-update", content: "Update documentation", status: "pending", priority: "medium" }
+  ]}
+  
+  // Store initial coordination state
+  mcp__claude-flow__memory_usage {
+    action: "store",
+    key: "project/github_integration/issues",
+    value: { created: Date.now(), total_issues: 3, status: "initialized" }
+  }
+```
+
+## Smart Issue Templates
+
+### Integration Issue Template:
+```markdown
+## 🔄 Integration Task
+
+### Overview
+[Brief description of integration requirements]
+
+### Objectives
+- [ ] Component A integration
+- [ ] Component B validation  
+- [ ] Testing and verification
+- [ ] Documentation updates
+
+### Integration Areas
+#### Dependencies
+- [ ] Package.json updates
+- [ ] Version compatibility
+- [ ] Import statements
+
+#### Functionality  
+- [ ] Core feature integration
+- [ ] API compatibility
+- [ ] Performance validation
+
+#### Testing
+- [ ] Unit tests
+- [ ] Integration tests
+- [ ] End-to-end validation
+
+### Swarm Coordination
+- **Coordinator**: Overall progress tracking
+- **Analyst**: Technical validation
+- **Tester**: Quality assurance
+- **Documenter**: Documentation updates
+
+### Progress Tracking
+Updates will be posted automatically by swarm agents during implementation.
+
+---
+🤖 Generated with Claude Code
+```
+
+### Bug Report Template:
+```markdown
+## 🐛 Bug Report
+
+### Problem Description
+[Clear description of the issue]
+
+### Expected Behavior
+[What should happen]
+
+### Actual Behavior  
+[What actually happens]
+
+### Reproduction Steps
+1. [Step 1]
+2. [Step 2]
+3. [Step 3]
+
+### Environment
+- Package: [package name and version]
+- Node.js: [version]
+- OS: [operating system]
+
+### Investigation Plan
+- [ ] Root cause analysis
+- [ ] Fix implementation
+- [ ] Testing and validation
+- [ ] Regression testing
+
+### Swarm Assignment
+- **Debugger**: Issue investigation
+- **Coder**: Fix implementation
+- **Tester**: Validation and testing
+
+---
+🤖 Generated with Claude Code
+```
+
+## Best Practices
+
+### 1. **Swarm-Coordinated Issue Management**
+- Always initialize swarm for complex issues
+- Assign specialized agents based on issue type
+- Use memory for progress coordination
+
+### 2. **Automated Progress Tracking**
+- Regular automated updates with swarm coordination
+- Progress metrics and completion tracking
+- Cross-issue dependency management
+
+### 3. **Smart Labeling and Organization**
+- Consistent labeling strategy across repositories
+- Priority-based issue sorting and assignment
+- Milestone integration for project coordination
+
+### 4. **Batch Issue Operations**
+- Create multiple related issues simultaneously
+- Bulk updates for project-wide changes
+- Coordinated cross-repository issue management
+
+## Integration with Other Modes
+
+### Seamless integration with:
+- `/github pr-manager` - Link issues to pull requests
+- `/github release-manager` - Coordinate release issues
+- `/sparc orchestrator` - Complex project coordination
+- `/sparc tester` - Automated testing workflows
+
+## Metrics and Analytics
+
+### Automatic tracking of:
+- Issue creation and resolution times
+- Agent productivity metrics
+- Project milestone progress
+- Cross-repository coordination efficiency
+
+### Reporting features:
+- Weekly progress summaries
+- Agent performance analytics
+- Project health metrics
+- Integration success rates