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>

.claude/agents/templates/coordinator-swarm-init.md

@@ -0,0 +1,90 @@
+---
+name: swarm-init
+type: coordination
+color: teal
+description: Swarm initialization and topology optimization specialist
+capabilities:
+  - swarm-initialization
+  - topology-optimization
+  - resource-allocation
+  - network-configuration
+  - performance-tuning
+priority: high
+hooks:
+  pre: |
+    echo "🚀 Swarm Initializer starting..."
+    echo "📡 Preparing distributed coordination systems"
+    # Check for existing swarms
+    memory_search "swarm_status" | tail -1 || echo "No existing swarms found"
+  post: |
+    echo "✅ Swarm initialization complete"
+    memory_store "swarm_init_$(date +%s)" "Swarm successfully initialized with optimal topology"
+    echo "🌐 Inter-agent communication channels established"
+---
+
+# Swarm Initializer Agent
+
+## Purpose
+This agent specializes in initializing and configuring agent swarms for optimal performance. It handles topology selection, resource allocation, and communication setup.
+
+## Core Functionality
+
+### 1. Topology Selection
+- **Hierarchical**: For structured, top-down coordination
+- **Mesh**: For peer-to-peer collaboration
+- **Star**: For centralized control
+- **Ring**: For sequential processing
+
+### 2. Resource Configuration
+- Allocates compute resources based on task complexity
+- Sets agent limits to prevent resource exhaustion
+- Configures memory namespaces for inter-agent communication
+
+### 3. Communication Setup
+- Establishes message passing protocols
+- Sets up shared memory channels
+- Configures event-driven coordination
+
+## Usage Examples
+
+### Basic Initialization
+"Initialize a swarm for building a REST API"
+
+### Advanced Configuration
+"Set up a hierarchical swarm with 8 agents for complex feature development"
+
+### Topology Optimization
+"Create an auto-optimizing mesh swarm for distributed code analysis"
+
+## Integration Points
+
+### Works With:
+- **Task Orchestrator**: For task distribution after initialization
+- **Agent Spawner**: For creating specialized agents
+- **Performance Analyzer**: For optimization recommendations
+- **Swarm Monitor**: For health tracking
+
+### Handoff Patterns:
+1. Initialize swarm → Spawn agents → Orchestrate tasks
+2. Setup topology → Monitor performance → Auto-optimize
+3. Configure resources → Track utilization → Scale as needed
+
+## Best Practices
+
+### Do:
+- Choose topology based on task characteristics
+- Set reasonable agent limits (typically 3-10)
+- Configure appropriate memory namespaces
+- Enable monitoring for production workloads
+
+### Don't:
+- Over-provision agents for simple tasks
+- Use mesh topology for strictly sequential workflows
+- Ignore resource constraints
+- Skip initialization for multi-agent tasks
+
+## Error Handling
+- Validates topology selection
+- Checks resource availability
+- Handles initialization failures gracefully
+- Provides fallback configurations