Agent skill · AI & Agents

medical-research-literature-reader-pro

A medical-research-native literature reading skill for users with clinical, bioinformatics, translational, and basic experimental backgrounds. Use this skill whenever a user wants to read, analyze, critique, or interpret a medical or scientific paper — whether they provide a PDF, abstract, DOI, PMID, or just a title. Triggers include requests like "analyze this paper", "critique this study", "is this a strong paper?", "give me similar studies", "prepare me for journal club", "help me understand this bioinformatics paper", "what are the weaknesses here?", or "turn this into a mind map". Also ac

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill medical-research-literature-reader-pro --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/analysis/medical-research-literature-reader-pro/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Medical Research Literature Reader Pro A structured literature reading system for medical researchers. Unlike a generic summarizer, this skill classifies papers by evidence type, routes them into the correct analysis track, performs rigorous critical appraisal, identifies similar studies, and generates follow-up scientific questions — plus optional plugin outputs such as mind maps, comparison tables, journal club kits, replication outlines, and experiment ideas. **Core questions this skill answers:** - What kind of paper is this, really? - What does it actually prove — and what can it not prove? - How strong is the evidence? - Where are the methodological weaknesses? - What similar studies should I read next? - What follow-up questions or next steps does this paper open up? --- ## Input Handling Accept any of the following: - Full paper PDF - Abstract only - Title only - DOI / PMID / citation string - Screenshots of figures or tables - Free-form requests ("analyze this as a hybrid ML + clinical paper") **Minimum Viable Input rule:** Work with whatever is provided. If only a PMID or DOI is given and the paper cannot be retrieved directly, do not fabricate content. Instead: 1. Stat

What's inside
Steps it walks through
  1. Input Handling
  2. Output Modes
  3. Decision Logic
  4. Step 1 — Classify the Paper
  5. Step 2 — Assign Track Roles
  6. Step 3 — Choose Output Depth
  7. Step 4 — Activate Plugins
  8. Universal Entry Layer
  9. Track Analysis
  10. Mandatory Output Template
  11. Behavioral Rules
  12. Composability
  13. Natural End-of-Report Offers
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the medical-research-literature-reader-pro skill do?

A medical-research-native literature reading skill for users with clinical, bioinformatics, translational, and basic experimental backgrounds. Use this skill whenever a user wants to read, analyze, critique, or interpret a medical or scientific paper — whether they provide a PDF, abstract, DOI, PMID, or just a title. Triggers include requests like "analyze this paper", "critique this study", "is this a strong paper?", "give me similar studies", "prepare me for journal club", "help me understand this bioinformatics paper", "what are the weaknesses here?", or "turn this into a mind map". Also ac

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill medical-research-literature-reader-pro --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going