# medical-imaging-review

Structures medical imaging AI reviews with verifiable citations and qualitative synthesis. Rejects statistical pooling and meta-analyses.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 691 installs · ★ 876
- Author: luwill
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/luwill/research-skills/tree/HEAD/medical-imaging-review/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/medical-imaging-review

## What it does

The skill organizes evidence review workflows across four distinct routes: narrative reviews, method surveys, scoping reviews, and systematic qualitative reviews. Meta-analysis is ruled out completely. Pooling statistics, generating forest plots, or calculating heterogeneity metrics fall outside the environment's capabilities. Once literature selection starts, the chosen route becomes permanent.

Projects initialize through `scripts/init_review_project.py` into collision-safe folders stamped with timestamps and unique hashes. Standard generated files include `review_config.yaml`, `claim_ledger.csv`, `references.bib`, and manuscript templates. Search results are imported from the `lit-search` skill using `scripts/import_litsearch.py`, which records the PRISMA retrieval count into a tracking log.

Drafting forbids shifting numeric markers like `[17]`. Instead, each factual sentence connects to persistent citekeys like `[@smith2024model]` and enters `claim_ledger.csv` with an exact excerpt from the primary source.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add luwill/research-skills --skill medical-imaging-review -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/medical-imaging-review/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/medical-imaging-review/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add luwill/research-skills --skill medical-imaging-review -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/medical-imaging-review/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add luwill/research-skills --skill medical-imaging-review -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/medical-imaging-review/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install luwill/research-skills medical-imaging-review
```

2. **Manually: put the files in place**
- File: `.github/skills/medical-imaging-review/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add luwill/research-skills --skill medical-imaging-review -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/luwill/research-skills --path medical-imaging-review
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/medical-imaging-review/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add luwill/research-skills --skill medical-imaging-review -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/luwill/research-skills/tree/HEAD/medical-imaging-review/SKILL.md

## When to use it
- draft protocols for medical imaging AI surveys and scoping studies
- generate collision-safe project file structures with audit ledgers
- import screening candidate records from `lit-search` runs
- link draft claims to first sources inside `claim_ledger.csv`

## Example prompts
- Initialize a scoping review project on chest CT lung nodule detection.
- Import the search exports from lit-search run folder run-04.
- Verify draft claims and log them into claim_ledger.csv.

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From the same set: [luwill/research-skills](https://affpapa.org/en/nevibecode/by/luwill/research-skills.md) — 2 cards

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