Review paper
Scaffold and draft medical/AI literature reviews (narrative, scoping PRISMA-ScR, or systematic). Asks for the spine axis, builds a 7-part skeleton with a required Intro scope/non-overlap block, a summary-table stub, an evaluation-metrics critique subsection, and reporting-guideline wiring. Reuses the self-review RV1-RV9 narrative-review probes for QC. Does not invent citations.From its SKILL.md
npx -y skills add Aperivue/medsci-skills --skill review-paperAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Review-Paper Skill
Scaffold and draft a literature review — narrative, scoping (PRISMA-ScR), or systematic
(PRISMA 2020) — for medical / medical-AI research. This skill builds the structure, the
required scope/non-overlap framing, the summary-table stubs, and the reporting-guideline
wiring, then hands off to the existing QC skills. It is the review-article counterpart to
write-paper (which targets original research); for reviewing someone else's review
article, use /peer-review or /self-review (the RV1-RV9 probes). The structure follows
established review-writing conventions; it is not derived from, and does not reproduce, any
specific published review.
Anti-Hallucination
- Never invent citations. 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 that is not yet in the library, leave a[NEEDS-REF: claim]marker and route it to/search-lit; do not fabricate a DOI, author, year, or citekey. - Never invent data. Summary-table cells (study, year, metric, finding) are filled only from sources the user supplies or that are verified; an unknown cell stays a placeholder.
- No recommendation-grade language without standing. For a scoping review especially, the output maps the evidence — it does not issue clinical recommendations.
- Quality gate before hand-off: the draft is not "done" until
/self-reviewreports 0 fatal findings and/verify-refsreports 0 FABRICATED / MISMATCH and no placeholder citations remain.
Step 0 — Format + spine axis (the structure-determining choice)
- Confirm format with the user: narrative (SANRA) | scoping (PRISMA-ScR + JBI) | systematic (PRISMA 2020). This decides the reporting guideline and the registration path.
- 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.
- 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 7-part macro skeleton
Load ${CLAUDE_SKILL_DIR}/references/macro_skeleton.md and instantiate:
- Abstract — structured for scoping/systematic; a 4-5 move version for narrative.
- Introduction — clinical motivation → technology → scope + non-overlap block (required field) → "this review…".
- Background / technical principles — tight; cite once, do not re-survey the field.
- Thematic body by spine axis — each section ends with a summary table (stub generated to match the type, Step 2).
- Frontiers / what is advancing.
- Challenges / discussion — include an evaluation-metrics critique subsection (a required quality signal: how the field measures itself, and where those metrics mislead).
- Conclusion — measured; no recommendation-grade language for a scoping review.
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; rows are filled only from verified sources (see Anti-Hallucination).
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-reportingdoes not yet carry the chosen checklist (e.g. PRISMA-ScR), 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:
/self-review— the RV1-RV9 narrative-review probes auto-activate for a review article./check-reporting— the chosen guideline (SANRA / PRISMA-ScR / PRISMA 2020)./verify-refs— every citation resolves; 0 FABRICATED / MISMATCH./humanize— AI-pattern density below threshold./academic-aio— discoverability pass (optional).
Convergence gate: self-review fatal = 0; verify-refs FABRICATED/MISMATCH = 0; no
[NEEDS-REF] / [@NEW:]-style placeholder citations remain; humanize density < 2.0.
Guards
- Citations resolve to
_src/refs.bibonly; never invent citekeys (see Anti-Hallucination). - Proportionate self-citation; declare an intellectual conflict of interest when an author
has contributed to the area being reviewed (per
intellectual-coi). - Write only inside the manuscript directory.
references/
macro_skeleton.md— the 7-part template and the table/figure plan per review type.
What ships with it: 2 files
1.4 KB alongside SKILL.md
references/
- macro_skeleton.md426 B
- skill.yml1002 B