Use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detec...
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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.
Category
πData & AnalyticsPlatforms
What Clinical Data Cleaner can do for your AI workflow
When cleaning clinical trial directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Clinical Data Cleaner
Help me get started with Clinical Data Cleaner
Explains what Clinical Data Cleaner does, walks through the setup, and runs a quick demo based on your current project
Use Clinical Data Cleaner to use when cleaning clinical trial data, preparing data for FDA/EMA s...
Invokes Clinical Data Cleaner with the right parameters and returns the result directly in the conversation
What can I do with Clinical Data Cleaner in my data & analytics workflow?
Lists the top use cases for Clinical Data Cleaner, with example commands for each scenario
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Clinical Data Cleaner extends your AI assistant with the ability to use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detec... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Clinical Data Cleaner as its underlying capability.
Clinical Data Cleaner works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Clinical Data Cleaner once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Clinical Data Cleaner, copy the skill folder to `~/.claude/skills/clinical-data-cleaner/` for use across all your projects, or `.claude/skills/clinical-data-cleaner/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/clinical-data-cleaner` or just describe your goal and the AI will pick it up automatically.
Clinical Data Cleaner has 354 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/clinical-data-cleaner/ for personal use (all projects), or .claude/skills/clinical-data-cleaner/ for project-specific use. Restart your AI client, then invoke with /clinical-data-cleaner or let the AI discover it automatically.
Clinical Data Cleaner supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Clinical Data Cleaner is free to install. Check the repository for licensing information.
Use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detec...
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Identifies repetitive steps in your workflow and sets up Clinical Data Cleaner to handle them automatically
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