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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9
.claude/commands/optimization/README.md
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.claude/commands/optimization/README.md
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# Optimization Commands
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Commands for optimization operations in Claude Flow.
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## Available Commands
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- [topology-optimize](./topology-optimize.md)
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- [parallel-execute](./parallel-execute.md)
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- [cache-manage](./cache-manage.md)
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.claude/commands/optimization/auto-topology.md
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.claude/commands/optimization/auto-topology.md
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# Automatic Topology Selection
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## Purpose
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Automatically select the optimal swarm topology based on task complexity analysis.
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## How It Works
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### 1. Task Analysis
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The system analyzes your task description to determine:
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- Complexity level (simple/medium/complex)
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- Required agent types
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- Estimated duration
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- Resource requirements
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### 2. Topology Selection
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Based on analysis, it selects:
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- **Star**: For simple, centralized tasks
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- **Mesh**: For medium complexity with flexibility needs
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- **Hierarchical**: For complex tasks requiring structure
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- **Ring**: For sequential processing workflows
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### 3. Example Usage
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**Simple Task:**
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```
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Tool: mcp__claude-flow__task_orchestrate
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Parameters: {"task": "Fix typo in README.md"}
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Result: Automatically uses star topology with single agent
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```
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**Complex Task:**
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```
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Tool: mcp__claude-flow__task_orchestrate
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Parameters: {"task": "Refactor authentication system with JWT, add tests, update documentation"}
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Result: Automatically uses hierarchical topology with architect, coder, and tester agents
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```
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## Benefits
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- 🎯 Optimal performance for each task type
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- 🤖 Automatic agent assignment
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- ⚡ Reduced setup time
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- 📊 Better resource utilization
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## Hook Configuration
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The pre-task hook automatically handles topology selection:
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```json
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{
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"command": "npx claude-flow hook pre-task --optimize-topology"
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}
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```
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## Direct Optimization
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```
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Tool: mcp__claude-flow__topology_optimize
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Parameters: {"swarmId": "current"}
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```
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## CLI Usage
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```bash
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# Auto-optimize topology via CLI
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npx claude-flow optimize topology
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```
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.claude/commands/optimization/cache-manage.md
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.claude/commands/optimization/cache-manage.md
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# cache-manage
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Manage operation cache for performance.
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## Usage
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```bash
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npx claude-flow optimization cache-manage [options]
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```
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## Options
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- `--action <type>` - Action (view, clear, optimize)
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- `--max-size <mb>` - Maximum cache size
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- `--ttl <seconds>` - Time to live
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## Examples
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```bash
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# View cache stats
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npx claude-flow optimization cache-manage --action view
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# Clear cache
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npx claude-flow optimization cache-manage --action clear
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# Set limits
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npx claude-flow optimization cache-manage --max-size 100 --ttl 3600
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```
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.claude/commands/optimization/parallel-execute.md
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.claude/commands/optimization/parallel-execute.md
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# parallel-execute
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Execute tasks in parallel for maximum efficiency.
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## Usage
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```bash
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npx claude-flow optimization parallel-execute [options]
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```
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## Options
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- `--tasks <file>` - Task list file
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- `--max-parallel <n>` - Maximum parallel tasks
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- `--strategy <type>` - Execution strategy
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## Examples
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```bash
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# Execute task list
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npx claude-flow optimization parallel-execute --tasks tasks.json
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# Limit parallelism
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npx claude-flow optimization parallel-execute --tasks tasks.json --max-parallel 5
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# Custom strategy
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npx claude-flow optimization parallel-execute --strategy adaptive
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```
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.claude/commands/optimization/parallel-execution.md
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.claude/commands/optimization/parallel-execution.md
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# Parallel Task Execution
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## Purpose
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Execute independent subtasks in parallel for maximum efficiency.
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## Coordination Strategy
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### 1. Task Decomposition
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```
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Tool: mcp__claude-flow__task_orchestrate
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Parameters: {
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"task": "Build complete REST API with auth, CRUD operations, and tests",
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"strategy": "parallel",
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"maxAgents": 8
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}
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```
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### 2. Parallel Workflows
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The system automatically:
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- Identifies independent components
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- Assigns specialized agents
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- Executes in parallel where possible
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- Synchronizes at dependency points
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### 3. Example Breakdown
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For the REST API task:
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- **Agent 1 (Architect)**: Design API structure
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- **Agent 2-3 (Coders)**: Implement auth & CRUD in parallel
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- **Agent 4 (Tester)**: Write tests as features complete
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- **Agent 5 (Documenter)**: Update docs continuously
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## CLI Usage
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```bash
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# Execute parallel tasks via CLI
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npx claude-flow parallel "Build REST API" --max-agents 8
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```
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## Performance Gains
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- 🚀 2.8-4.4x faster execution
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- 💪 Optimal CPU utilization
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- 🔄 Automatic load balancing
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- 📈 Linear scalability with agents
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## Monitoring
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```
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Tool: mcp__claude-flow__swarm_monitor
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Parameters: {"interval": 1000, "swarmId": "current"}
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```
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Watch real-time parallel execution progress!
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25
.claude/commands/optimization/topology-optimize.md
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.claude/commands/optimization/topology-optimize.md
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# topology-optimize
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Optimize swarm topology for current workload.
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## Usage
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```bash
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npx claude-flow optimization topology-optimize [options]
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```
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## Options
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- `--analyze-first` - Analyze before optimizing
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- `--target <metric>` - Optimization target
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- `--apply` - Apply optimizations
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## Examples
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```bash
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# Analyze and suggest
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npx claude-flow optimization topology-optimize --analyze-first
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# Optimize for speed
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npx claude-flow optimization topology-optimize --target speed
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# Apply changes
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npx claude-flow optimization topology-optimize --target efficiency --apply
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```
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