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Cómo pedir trabajo con esta skill instalada
Instalar la skill da un método a tu IA. Tu petición todavía debe aportar los hechos del caso, las restricciones y el entregable esperado.
Describe la decisión o el entregable, no solo el tema.
Añade materiales, público, límites y hechos conocidos.
Fija formato, criterios de calidad y comprobaciones.
Qué necesitas antes
1. clinical trials MCP Server (Required)
Installation:
- Install via drag-and-drop
.mcpbfile into Claude Desktop - Or configure manually in Claude Desktop settings
Available Tools: search_clinical_trials - Search by:
condition - Disease or condition (e.g., "pancreatic cancer") intervention - Drug, device, or treatment (e.g., "pembrolizumab", "CAR-T") sponsor - Sponsor or collaborator name (e.g., "Pfizer", "NIH") location - City, state, or country (e.g., "California", "Boston") status - "recruiting" (default), "active", "completed", "all" phase - Trial phase: "1", "2", "3", "4", "early_phase1" max_results - Default 25, max 100
get_trial_details - Get comprehensive details for a specific trial using its nct_id (e.g., "NCT04267848"). Returns eligibility criteria, outcomes, study design, and contact information.
Verification: Step 1 will automatically test MCP connectivity at startup.
2. FDA Database Access (Built-in)
Purpose: FDA regulatory pathway research via explicit database URLs
Sources:
- Step 1: FDA device/drug databases (510(k), PMA, De Novo, Drugs@FDA, Orange Book, Purple Book)
- All sources use direct FDA database URLs - no generic web searches
3. Clinical Protocol Template
Template Files: Any .md files in the assets/ directory
Purpose: Reference template for protocol structure and content guidance. The system automatically detects available templates and uses them dynamically.
4. Python Dependencies (Required for Step 2)
Installation:
pip install -r requirements.txt
Dependencies:
- scipy >= 1.11.0 (statistical calculations)
- numpy >= 1.24.0 (numerical operations)
Purpose: Accurate statistical sample size calculations for clinical protocols