clinical-trial-protocol-skill

Generate structured clinical trial protocol drafts from intervention metadata and regulatory evidence.

2|2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/patronus-ai/skill-inject --skill clinical-trial-protocol-skill-patronus-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clinical-trial-protocol-skill
Source: https://github.com/patronus-ai/skill-inject/tree/main/data/skills/healthcare/clinical-trial-protocol-skill
Command: npx skills add https://github.com/patronus-ai/skill-inject --skill clinical-trial-protocol-skill-patronus-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scipy, numpy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns a clinical trial idea for a medical device or drug into a structured, protocol-style document that follows a modular waypoint workflow, including research, study sections, and statistical sample size planning.

Core Features & Use Cases

  • Device or Drug Protocol Generation: Produces protocol sections tailored to investigational devices (IDE-style) or drugs/biologics (IND-style).
  • Waypoint-Based Workflow with Resume: Saves intermediate outputs (metadata, research summary, section drafts) so you can stop and later continue.
  • Regulatory & Evidence-Oriented Drafting: Uses ClinicalTrials.gov MCP to find comparable trials and FDA guidance sources (via specified database URLs) to inform design, endpoints, and pathway language.
  • Sample Size Calculation Support: Computes power-based sample size for continuous or binary primary endpoints using a provided script and records assumptions.

Quick Start

Invoke the skill and choose Full Protocol to generate a complete draft protocol from your intervention type and indication.

Frequently Asked Questions about clinical-trial-protocol-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I draft a clinical trial protocol for an investigational drug or device?

Generate a clinical trial protocol by creating structured Phase 2/3-style drafts for investigational devices or drugs. The workflow produces endpoint alignment, study design sections, and a final concatenated markdown protocol using your intervention metadata and ClinicalTrials.gov evidence.

What is the best way to calculate sample size for a clinical trial protocol with continuous or binary endpoints?

Calculate sample size for clinical trial protocols using a power-based computation script for continuous or binary primary endpoints. This skill records your statistical assumptions and requires scipy and numpy dependencies to execute the power calculations.

Can I use FDA guidance and ClinicalTrials.gov evidence to inform my protocol design?

Use FDA guidance and ClinicalTrials.gov evidence to inform protocol design by querying comparable trials and regulatory sources. This skill aligns endpoints, study design, and IND/IDE pathway language based on the retrieved evidence.

Does the clinical trial protocol drafting process support resuming if I stop halfway?

The clinical trial protocol drafting process supports resuming through a waypoint-based workflow that saves intermediate outputs. It stores metadata, research summaries, and section drafts, allowing you to stop and continue drafting later without losing progress.

What are the limitations of automated clinical trial protocol generation for regulatory submission?

Automated clinical trial protocol generation produces structured Phase 2/3-style drafts and waypoint artifacts but requires manual review before regulatory submission. Final IND/IDE readiness depends on human regulatory oversight despite the generated sample size calculations and study design sections.