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Review-Paper Skill

综述论文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.
为医学/医学AI研究搭建并起草文献综述——包括叙事性综述、PRISMA-ScR范围性综述或PRISMA 2020系统性综述。该Skill负责构建综述结构、必备的研究范围/非重叠框架、汇总表格框架以及报告指南关联内容，之后将内容移交至现有质量控制（QC）Skill。它是针对综述论文的工具，对应面向原创研究的
write-paper
工具；若要评审他人的综述论文，请使用
/peer-review
或
/self-review
（RV1-RV9探针）。其结构遵循已确立的综述写作规范，并非源自或复制任何已发表的特定综述。

Anti-Hallucination

防幻觉机制

  • 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.
  • **禁止编造引用文献。**每个引用键（citekey）必须能关联到项目已验证的
    _src/refs.bib
    文件（由
    /search-lit
    →
    /lit-sync
    →
    /verify-refs
    生成）。若某项观点需要的参考文献尚未在文献库中，请留下
    [NEEDS-REF: claim]
    标记，并将其导向
    /search-lit
    工具；不得编造DOI、作者、年份或引用键。
  • **禁止编造数据。**汇总表格的单元格（研究、年份、指标、发现）仅能从用户提供或已验证的来源填充；未知内容的单元格保留占位符。
  • **无依据不得使用推荐级表述。**尤其对于范围性综述，输出内容仅需呈现证据分布，不得给出临床推荐意见。
  • **移交前的质量关卡：**只有当
    /self-review
    报告0项致命问题、
    /verify-refs
    报告0项编造/不匹配问题，且无占位符引用时，草稿才算“完成”。

Step 0 — Format + spine axis (the structure-determining choice)

步骤0——格式+核心框架轴（决定结构的关键选择）

  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).
  1. 与用户确认格式：叙事性（SANRA）| 范围性（PRISMA-ScR + JBI）| 系统性（PRISMA 2020）。这将决定报告指南和注册路径。
  2. 选择核心框架轴——这是最关键的决策：按模态（如2D→3D）、任务（生成/质量保证/部署）或生命周期阶段组织正文内容。所有正文章节都需遵循同一框架轴；混合使用不同框架轴是最常见的结构失误。
  3. 要求提供针对已有/相关综述的研究范围声明+非重叠边界——这可以预先回应评审者的第一个问题：“为什么要做这篇新综述？”（用户确认关卡：搭建大纲前需与用户确认该边界）。

Step 1 — Scaffold the 7-part macro skeleton

步骤1——搭建7部分宏观大纲

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.
加载
${CLAUDE_SKILL_DIR}/references/macro_skeleton.md
并实例化：
  1. 摘要——范围性/系统性综述采用结构化摘要；叙事性综述采用4-5段式摘要。
  2. 引言——临床动机→技术背景→研究范围+非重叠模块（必填项）→“本综述将……”。
  3. 背景/技术原理——内容简洁；仅引用一次，无需重新梳理整个领域。
  4. 基于核心框架轴的主题正文——每个章节末尾附汇总表格（根据综述类型生成框架，见步骤2）。
  5. 前沿领域/进展方向。
  6. 挑战/讨论——包含评估指标批判小节（必备质量信号：该领域如何自我衡量，以及这些指标存在哪些误导性）。
  7. 结论——表述严谨；范围性综述不得使用推荐级表述。

Step 2 — Summary-table stub (matched to type)

步骤2——汇总表格框架（匹配综述类型）

  • 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).
  • 叙事性/范围性综述：
    研究 | 年份 | [核心框架轴取值] | 方法 | 关键发现
    。
  • 系统性综述：PRISMA流程图 + 研究特征表 + 数据提取表。
框架包含列标题和一行占位符；表格行仅能从已验证来源填充（见防幻觉机制）。

Step 3 — Reporting + registration wiring

步骤3——报告+注册关联配置

  • 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.
  • 范围性综述→ PRISMA-ScR（+ JBI图表）+ OSF注册。
  • 叙事性综述→ SANRA（6项评估辅助工具，而非报告清单——不要过度强制执行）。
  • 系统性综述→ PRISMA 2020（+ PROSPERO注册）。
  • 若
    /check-reporting
    尚未支持所选清单（如PRISMA-ScR），需手动跟踪差距表并向用户标记，不得直接跳过该项。

Step 4 — QC hand-off

步骤4——质量控制移交

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.
运行标准手稿质量控制流程，本Skill专为该流程提供输入：
  1. /self-review
    ——RV1-RV9叙事性综述探针会针对综述论文自动激活。
  2. /check-reporting
    ——验证所选指南（SANRA / PRISMA-ScR / PRISMA 2020）的合规性。
  3. /verify-refs
    ——确保所有引用均可关联；0项编造/不匹配问题。
  4. /humanize
    ——AI生成模式密度低于阈值。
  5. /academic-aio
    ——可发现性检查（可选）。
**收敛关卡：**自我审查致命问题=0；引用验证编造/不匹配问题=0；无
[NEEDS-REF]
/
[@NEW:]
类占位符引用；AI生成模式密度<2.0。

Guards

防护规则

  • 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.
  • 引用仅能关联到
    _src/refs.bib
    文件；不得编造引用键（见防幻觉机制）。
  • 合理的自引比例；当作者已对所综述领域做出贡献时，需声明学术利益冲突（遵循
    intellectual-coi
    规则）。
  • 仅在手稿目录内写入内容。

references/

参考资料/

  • macro_skeleton.md
    — the 7-part template and the table/figure plan per review type.
  • macro_skeleton.md
    ——7部分模板以及对应各综述类型的表格/图表规划。