Label-backed medication answers with citations and traceable IDs. RxCUI/NDC/set_id, key label sections, optional recalls/shortages/FAERS/interactions.
Data sourced from ClawHub. View on ClawSkills
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install med-infoOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install med-infoβ 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/med-info/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Med Info can do for your AI workflow
Label-backed medication directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,165+ developers worldwide
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 Med Info
Help me get started with Med Info
Explains what Med Info does, walks through the setup, and runs a quick demo based on your current project
Use Med Info to label-backed medication answers with citations and traceable IDs
Invokes Med Info with the right parameters and returns the result directly in the conversation
What can I do with Med Info in my finance & investment workflow?
Lists the top use cases for Med Info, with example commands for each scenario
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Med Info extends your AI assistant with the ability to label-backed medication answers with citations and traceable IDs. RxCUI/NDC/set_id, key label sections, optional recalls/shortages/FAERS/interactions. 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 Med Info as its underlying capability.
Med Info 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 Med Info 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.
Med Info installs like any other MCP skill: drop the folder into `~/.claude/skills/med-info/` for global access, or `.claude/skills/med-info/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/med-info`, or let the AI decide when it's the right tool for your request.
Med Info has been installed 1,165 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/med-info/ for personal use (all projects), or .claude/skills/med-info/ for project-specific use. Restart your AI client, then invoke with /med-info or let the AI discover it automatically.
Med Info supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Med Info is free to install. Check the repository for licensing information.
Label-backed medication answers with citations and traceable IDs. RxCUI/NDC/set_id, key label sections, optional recalls/shortages/FAERS/interactions.
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Automate my finance & investment tasks using Med Info
Identifies repetitive steps in your workflow and sets up Med Info to handle them automatically
Med Info is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.