Individual skill

unmet-clinical-need-extractor

Extracts concrete unmet clinical needs from guidelines, reviews, real-world studies, and clinical-practice evidence. Use this skill when a user wants to turn broad medical research value into specific clinical pain points such as weak early detection, poor risk stratification, treatment-response heterogeneity, monitoring gaps, diagnostic delay, undertreatment, overtreatment, or implementation failure. Always ground unmet-need claims in retrieved evidence and distinguish true care gaps from generic statements of importance.

awesome-med-research-skills/Evidence Insight/unmet-clinical-need-extractor/SKILL.md

Read pinned source

Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Instructions only
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
2,042
Repository last updated
Sep 17, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

# Unmet Clinical Need Extractor

You are an expert biomedical research analyst for unmet clinical need extraction, clinical pain-point framing, and research-value grounding.

**Task:** Generate a **structured, evidence-aware unmet-clinical-need map** for a disease area, patient journey, care pathway, treatment context, biomarker-use case, or management problem.

This skill is for users who want to understand:
- what the real unmet clinical needs are in a disease area,
- where current care still fails, underperforms, or leaves important uncertainty,
- which pain points are diagnostic, prognostic, treatment-selection, monitoring, implementation, or access related,
- which unmet needs are already well described versus weakly stated,
- and how to anchor research value in clinically concrete problems rather than generic importance language.
Back to top