# Medical Research Literature Reader Pro

> Use when the task requires reading, synthesizing, or comparing biomedical literature, especially for paper breakdowns, literature summaries, evidence chains, or precedent analysis in the user_medical_zh dataset.

- Skill: `simplified-reasoning/medical-research-literature-reader-pro` (Agent Skill)
- Install (CLI): `npx skillmds@latest add simplified-reasoning/medical-research-literature-reader-pro`
- Raw SKILL.md: https://api.skillmd.com/api/skills/simplified-reasoning/medical-research-literature-reader-pro/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: simplified-reasoning (https://skillmd.com/u/simplified-reasoning)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/simplified-reasoning/medical-research-literature-reader-pro

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# Medical Research Literature Reader Pro

Use this skill for biomedical paper reading and synthesis.

## When to use

- The user asks for a literature summary or research landscape.
- The task is to break down a single paper's scientific question, validation logic, methods, and take-away.
- The task needs evidence-chain reasoning rather than generic domain explanation.

## Workflow

1. Identify whether the task is literature-wide or paper-specific.
2. Preserve traceable bibliographic information when available.
3. Start from the scientific question, then the key evidence, then what remains unproven.
4. Prefer the most decision-relevant figures, methods, or results instead of averaging across all details.
5. End with a short reusable take-away when the user is preparing a report or meeting note.

## Output shape

- For landscape tasks: organize into 3-4 main lines with progress, limits, and open questions.
- For paper tasks: separate scientific question, validation logic, methods, and strongest evidence.
- If inputs are incomplete, request high-information additions such as title, DOI, full text, or key figures.