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Review paper

Skill Aperivue/medsci-skills/skills/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

Install
npx -y skills add Aperivue/medsci-skills --skill review-paper

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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-review reports 0 fatal findings and /verify-refs reports 0 FABRICATED / MISMATCH and no placeholder citations remain.

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 7-part macro skeleton

Load ${CLAUDE_SKILL_DIR}/references/macro_skeleton.md and instantiate:

  1. Abstract — structured for scoping/systematic; a 4-5 move version for narrative.
  2. Introduction — clinical motivation → technology → scope + non-overlap block (required field) → "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; 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-reporting does 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:

  1. /self-review — the RV1-RV9 narrative-review probes auto-activate for a review article.
  2. /check-reporting — the chosen guideline (SANRA / PRISMA-ScR / PRISMA 2020).
  3. /verify-refs — every citation resolves; 0 FABRICATED / MISMATCH.
  4. /humanize — AI-pattern density below threshold.
  5. /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.bib only; 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/

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