Clinical Trial Protocol Skill

🏢Official
by anthropics · vlatest · Repository

This skill extracts key information from clinical trial protocols to streamline research and analysis, boosting efficiency for medical professionals.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add clinical-trial-protocol-skill npx -- -y @trustedskills/clinical-trial-protocol-skill
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "clinical-trial-protocol-skill": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/clinical-trial-protocol-skill"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This clinical trial protocol skill enables AI agents to work with healthcare research documentation, helping analyze and process clinical trial protocols for medical research applications. It supports the healthcare domain by facilitating structured understanding of clinical trial methodologies and requirements.

When to use it

  • Analyzing clinical trial documents for compliance and regulatory review
  • Extracting key study parameters from protocol documentation
  • Assisting in research planning for pharmaceutical or biotech projects
  • Supporting medical researchers with protocol interpretation tasks

Key capabilities

  • Clinical trial protocol analysis and understanding
  • Healthcare domain-specific knowledge processing
  • Structured document interpretation for medical research
  • Protocol compliance and requirement identification

Example prompts

  • "Summarize the inclusion criteria from this clinical trial protocol"
  • "Extract the primary endpoints and study design from this protocol document"
  • "Identify potential regulatory concerns in this clinical

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
anthropics
Installs
45

🏢 Official

Published by the company or team that built the technology.