79b5d86325
- 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>
52 lines
1.2 KiB
Markdown
52 lines
1.2 KiB
Markdown
# SPARC Analyzer Mode
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## Purpose
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Deep code and data analysis with batch processing capabilities.
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## Activation
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### Option 1: Using MCP Tools (Preferred in Claude Code)
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```javascript
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mcp__claude-flow__sparc_mode {
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mode: "analyzer",
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task_description: "analyze codebase performance",
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options: {
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parallel: true,
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detailed: true
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}
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}
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```
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### Option 2: Using NPX CLI (Fallback when MCP not available)
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```bash
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# Use when running from terminal or MCP tools unavailable
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npx claude-flow sparc run analyzer "analyze codebase performance"
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# For alpha features
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npx claude-flow@alpha sparc run analyzer "analyze codebase performance"
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```
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### Option 3: Local Installation
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```bash
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# If claude-flow is installed locally
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./claude-flow sparc run analyzer "analyze codebase performance"
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```
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## Core Capabilities
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- Code analysis with parallel file processing
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- Data pattern recognition
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- Performance profiling
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- Memory usage analysis
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- Dependency mapping
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## Batch Operations
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- Parallel file analysis using concurrent Read operations
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- Batch pattern matching with Grep tool
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- Simultaneous metric collection
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- Aggregated reporting
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## Output Format
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- Detailed analysis reports
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- Performance metrics
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- Improvement recommendations
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- Visualizations when applicable |