review-paper
Use when writing a literature review article (narrative, scoping PRISMA-ScR or systematic).
Skill by Aperivue
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/aperivue-review-paper
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About
Use cases: writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/review-paper
What's inside
- Skill name
review-paper- Description
- Use when writing a literature review article (narrative, scoping PRISMA-ScR or systematic). Scaffolds a 7-part skeleton with a scope and non-overlap statement, summary-table stubs and reporting-guideline wiring, without inventing citations. Original research is /write-paper.
- License
- MIT
- Metadata
- triggers: review article, scoping review, narrative review, literature review, PRISMA-ScR, write a review
- Instructions
- 89 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (5)
- SKILL.md
- macro_skeleton.md · references/
- skill.yml
- check_skeleton.py · tests/
- test_macro_skeleton.sh · tests/
SKILL.md (first lines)
# Review-Paper Skill
The review-article counterpart to `write-paper` (original research). For *reviewing* someone
else's review article, use `/peer-review` or `/self-review` (the RV1-RV9 probes) instead.
## Step 0 — Format + spine axis (the structure-determining choice)
1. Confirm **format** with the user: narrative (SANRA) | scoping (PRISMA-ScR + JBI) |
systematic (PRISMA 2020). This decides the reporting guideline and the registration path.
2. Choose the **spine axis** — the single most consequential decision: organize the body by
**modality** (e.g. 2D → 3D), by **task** (generation / QA / deployment), or by
**lifecycle stage**. Every body section then follows this one axis; mixing axes is the
most common structural failure.
3. Require a **scope statement + non-overlap boundary** against prior/adjacent reviews — this
pre-empts the reviewer's first question, "why another review on this?" (user-approval
checkpoint: confirm the boundary with the user before scaffolding).
## Step 1 — Scaffold the macro skeleton for the format
Load `${CLAUDE_SKILL_DIR}/references/macro_skeleton.md` and write the section for the chosen
format to `manuscript.md` in the manuscript directory, with the summary-table stubs (Step 2) and
that section's figure/table legend plan. The structure depends on the format:
- **Narrative** — the 7-part skeleton below.
- **Scoping / systematic** — IMRaD with one Methods and one Results slot per PRISMA-ScR or
PRISMA 2020 item (the reference lists them by item number). Do not use the 7-part skeleton
for these: it has no place for eligibility criteria, search, selection, charting/extraction,
risk of bias or synthesis methods, nor for study-selection results. The thematic body by
spine axis goes inside Results → synthesis; frontiers and the evaluation-metrics critique go
inside Discussion.
The narrative 7-part skeleton:
1. **Abstract** — a 4-5 move version (structured for scoping/systematic).
2. **Introduction** — clinical motivation → technology → **scope + non-overlap block
(required field, all formats)** → "this review…".
3. **Background / technical principles** — tight; cite once, do not re-survey the field.
4. **Thematic body by spine axis** — each section ends with a **summary table** (stub
generated to match the type, Step 2).
5. **Frontiers / what is advancing.**
6. **Challenges / discussion** — include an **evaluation-metrics critique subsection** (a
required quality signal: how the field measures itself, and where those metrics mislead).
7. **Conclusion** — measured. A scoping review maps the evidence; it issues no
recommendation-grade language or clinical recommendations.
Every citekey must resolve to the project's verified `_src/refs.bib` (produced by `/search-lit` →
`/lit-sync` → `/verify-refs`). If a claim needs a reference not yet in the library, leave a
`[@NEW:short-topic]` placeholder and route it to `/search-lit`; never fabricate a DOI, author,
year, or citekey.
## Step 2 — Summary-table stub (matched to type)
- Narrative / scoping: `study | year | [spine-axis value] | method | key finding`.
- Systematic: PRISMA flow + a study-characteristics table + an extraction table.
The stub ships with column headers and one placeholder row. Cells (study, year, metric, finding)
are filled only from sources the user supplies or that are verified; an unknown cell stays a
placeholder.
## Step 3 — Reporting + registration wiring
- **Scoping** → PRISMA-ScR (+ JBI charting) + OSF registration.
- **Narrative** → SANRA (a 6-item appraisal aid, not a reporting checklist — do not
over-enforce it).
- **Systematic** → PRISMA 2020 (+ PROSPERO registration).
- If `/check-reporting` does not carry the chosen checklist (it bundles PRISMA-ScR and PRISMA
2020, not SANRA), track a manual gap table and flag it for the user rather than silently
skipping the item.
## Step 4 — QC hand-off
Run the standard manuscript QC chain, which this skill is designed to feed:
1. `/self-review` — the RV1-RV9 narrative-review probes auto-activate for a review article.
2. `/check-reporting` — PRISMA-ScR or PRISMA 2020 (SANRA via the Step 3 manual table).
3. `/verify-refs` — every citation resolves; 0 FABRICATED / MISMATCH.
4. `/humanize` — AI-pattern density below threshold.
5. `/academic-aio` — discoverability pass (optional).
**Convergence gate** — the draft is not done until: self-review fatal = 0; verify-refs
FABRICATED/MISMATCH = 0; no `[@NEW:...]` placeholder citations remain; humanize density < 2.0.
## Guards
- Proportionate self-citation; declare an intellectual conflict of interest when an author
has contributed to the area being reviewed.
- Write only inside the manuscript directory.From Aperivue/medsci-skills, MIT.
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Featured in
Signals
- Stars
- 349
- Forks
- 83
- Open issues
- 4
- Last commit (this folder)
- Oct 2, 2026 (25 days ago)
- Last release
- Oct 4, 2026 (23 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Aperivue/medsci-skills
- Website
- aperivue.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
review-paper skill. Agent Mart. https://agentmart.dev/skills/aperivue-review-paper (last updated 2026-10-24)