distill-medicine

Extract medically actionable claims with verbatim text and source citations from clinical content.

1|4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/The-Interdependency/a0 --skill distill-medicine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: distill-medicine
Source: https://github.com/The-Interdependency/a0/tree/main/.agents/skills/distill-medicine
Command: npx skills add https://github.com/The-Interdependency/a0 --skill distill-medicine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill distills medical content by extracting clearly stated facts while preserving verbatim values and requiring precise source citations, ensuring clinicians and researchers base conclusions on unaltered information.

Core Features & Use Cases

  • Verbatim extraction: Retain exact drug names, dosages, and guideline phrases with citations.
  • Congruency verification: Compare extracted facts against cited sources to ensure alignment.
  • Use Case: When reviewing hospital protocols or Medtech documentation containing pharmaceutical information, use this Skill to distill key facts with sources.

Quick Start

Provide the medical result containing drug names and dosages to be distilled with source citations.

Frequently Asked Questions about distill-medicine

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

FAQPage Schema
How do I extract verbatim medical facts with source citations from clinical guidelines?

To extract verbatim medical facts with source citations, provide the clinical guideline content to the Skill. It returns a JSON array of claims with fields for the exact text, source, locator, and category, ensuring pharmaceutical and diagnostic information remains unaltered.

Can I preserve exact drug names and dosages when distilling medical content?

Yes, you can preserve exact drug names and dosages when distilling medical content. The Skill retains verbatim text from pharmaceutical material and clinical notes, returning unaltered values alongside their specific source citations in a structured JSON array.

What is the best way to verify congruency between extracted medical claims and cited sources?

The best way to verify congruency between extracted medical claims and cited sources is to use the Skill's built-in comparison logic. It checks extracted facts against the original cited text to ensure alignment and flags any unattributed information.

How do I handle unattributed medical claims during pharmaceutical content extraction?

To handle unattributed medical claims during pharmaceutical content extraction, the Skill automatically assigns the value 'unattributed' to the source field. This ensures every extracted claim explicitly indicates whether it has a valid supporting citation.

Does this medical content extraction approach work for Medtech documentation and hospital protocols?

Yes, this medical content extraction approach works for Medtech documentation and hospital protocols. It is designed to process regulatory medical material and clinical notes, distilling actionable facts while preserving exact verbatim guideline phrases.

What format does extracted medical information return when parsing clinical notes?

When parsing clinical notes, extracted medical information returns as a JSON array. Each object includes specific fields for the claim, verbatim text, source citation, locator, and category to maintain strict medical data integrity.