Use Case
Clinical Data Cleaner isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detec... This guide covers how to deploy Clinical Data Cleaner for your team, standardize prompts, and create shared workflows that everyone can use.
Install Clinical Data Cleaner in your project directory: .claude/skills/clinical-data-cleaner/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Clinical Data Cleaner in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Clinical Data Cleaner
How can my team use Clinical Data Cleaner together?
Set up Clinical Data Cleaner for our project so everyone can use it
Create a shared workflow using Clinical Data Cleaner for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install clinical-data-cleanerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install clinical-data-cleanerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/clinical-data-cleaner/π‘Extract and place the folder at the path above, then restart your agent.