literature-review
Skill0 starsChanged 2 months agoMITView on GitHub
结构化检索、去重与主题归类,把文献变成可追溯的研究缺口表。
84 other projects use a version of this.
Adopted by
Most recently taken up by
- delorenj/skillstheir own version, first seen Nov 8, 2026
- DAAF-Contribution-Community/daaftheir own version, first seen Nov 8, 2026
- HughYau/AcademicForgetheir own version, first seen Nov 8, 2026
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- tang1693/yunduan-ai-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use pdf-explore, paper-narrative and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
JimLiuSkillpdf-explore
Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Skip it only for a single lookup of 1–4 pages quoted in your very next response — `read_file(pages=[...])` attaches pages as images that are dropped from context after one turn, so multi-section answers end up re-reading the same ranges repeatedly. Parses the PDF once in the Python kernel: `pdf_pages` (pages as persistent text), `pdf_outline` (TOC), `pdf_scan` (rank pages by relevance), `pdf_map`/`pdf_extract` (per-page summary / structured fields via parallel haiku calls). For PDF creation/manipulation, use reportlab/pypdf directly.
Also in 9 projects that use this
JimLiuSkillpaper-narrative
Judge and reshape the STORY a paper's figures tell. Input is the work itself — manuscript (or abstract) + figure deck — no hand-written brief. `derive_paper_brief(abstract, captions)` extracts pitch/vision/per-figure-claims; a handling-editor reviewer on the full deck returns hook_verdict (would Fig 1 make me send this for review?), arc (hook→mechanism→evidence→application), figure_moves (panels in the wrong figure), missing_panels (concrete analyses to RUN), kill_list, and boldest_defensible_fig1. Hands per-figure claims to `figure-composer`. Load when writing or revising a paper.
Also in 5 projects that use this
Norman-burySkillbrainstorming-research
Use before writing any paper - clarifies paper type, discipline, topic, methodology, and chapter structure through natural dialogue
Also in 4 projects that use this
lingzhi227Skilllatex-formatting
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
Also in 4 projects that use this
lingzhi227Skillnovelty-assessment
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
Also in 4 projects that use this
- +6 more from JimLiu
- +1 more from lingzhi227
Other versions84 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 84
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- Norman-bury/research-writing-skill★ 3.4ksame name
- Norman-bury/articlewriting-skill★ 3.4ksame name
- HughYau/AcademicForge★ 2.6ksame name
- K-Dense-AI/claude-scientific-writer★ 2.6ksame name
- xuzhougeng/wisp-science★ 1.1ksame name
- wu-yc/LabClaw★ 1.1ksame name
- LeonChaoX/qinyan-academic-skills★ 910same name
74 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository34 other files it gives its agents.
- ahpSkill
- arxiv-literature-synthesisSkill
- ask-mathxSkill
- bp-neural-networkSkill
- chart-decisionSkill
- citation-bibliographySkill
- clustering-classificationSkill
- conjecture-formulationSkill
- counterexample-searchSkill
- diagram-schematicSkill
- differential-equationSkill
- evaluation-entropy-topsisSkill
- figure-table-generationSkill
- genetic-algorithmSkill
- graph-networkSkill
- gray-predictionSkill
- ingest-inputsSkill
- latex-typesettingSkill
- monte-carlo-simulationSkill
- numerical-verificationSkill
- optimization-lp-milpSkill
- paper-outlineSkill
- plotly-interactiveSkill
- polish-proofreadSkill
- proof-assistantSkill
- publication-figureSkill
- regression-familySkill
- reproducibility-checklistSkill
- research-evidenceSkill
- scientific-plottingSkill
- setup-mathxSkill
- statistical-plotSkill
- symbolic-computationSkill
- time-series-arimaSkill
The file
Files
文献综述与研究缺口
先读仓库根目录的 CONTEXT.md(术语/单位/venue 默认),全文用它的词。
人触发的生产型技能,只做一件事:把一堆论文变成引言能引用的可追溯缺口表。不画定理依赖(那是 arxiv-literature-synthesis),不写论文(那是 paper-outline)。
Operating Posture
用户键入时运行,一篇论文一次。产品是缺口表,每行追溯到验证过的标识符(DOI/arXiv ID)。标准是可引用:审稿人顺任何一行摸过去,落到真实论文,且论文说的和表格写的一致。无引用的缺口是有表格边框的意见。
两种失败模式,第一种更糟:
- 编造参考文献。 像真的标题、错的年份、不存在的论文。每条标识符进表前对真实索引验过——无标识符,无行。
- 无缺口的综述堆。 十篇摘要结尾“有待进一步研究”。点不出具体缺失(方法 × 场景 × 证据)的综述产出的是读书笔记,不是缺口。
无验证标识符和点名的缺口不交表。无缺口,无综述。
Hard Rules
- 检索式记录。 数据库 + 检索式 + 日期 + 命中数,每串都有。“广泛检索过”不是方法节。
- 筛选标准先于筛选。 年限、 venue、语言、方法族——先定,一致执行,数量报告(检出 → 筛选 → 保留)。
- 一文一行,四列起步。 方法族、场景/数据、带数字的关键结果、作者原话或你验过的局限。无数字的行是占位,贴标签。
- 缺口写成方法 × 场景 × 证据。“尚无研究把 [方法] 用于 [场景] 并给出 [证据等级]”——三槽填满,槽槽追溯到表行。行支撑不了的缺口是编的。
- 主题归纳,不枚举。 归 2–4 个方法族或学派;族内比较(谁在哪赢、哪全败——全败区住着缺口)是综合。无比较的编年罗列是目录。
Build Sequence
1. 先和用户定范围
- 研究问题一句话,venue 类型(MCM/国赛/journal),缺口用途(引言动机还是方法选择依据)。
- gate:问题一句话说不清 → 问,不检索。无问题的检索注定漂移。
2. 检索、筛选、保留
- 跑记录过的检索式;标题 → 摘要 → 全文逐级筛,每级计数。有
research-evidence证据卡时优先复用其语料,筛选标准与归族仍归本技能。 - 去重(预印/发表算一行)。标识符验证。停止规则备注(饱和:新检索式无新增保留)。
3. 制表归纳
- 填四列表;归族;写族内 verdict(谁在哪赢、哪全败——全败区住着缺口)。
4. 点名缺口——gate
- gate:缺口句三槽追溯到行。再写论文入口:这个缺口 feed 大纲哪节,一句话。
Never Ship
| 禁忌 | 替代 |
| 引用没验证 | 逐行标识符查过 |
| 检索没记录 | 检索式 + 数量 + 日期 |
| 标准事后定 | 筛选前定标准 |
| 无数字行不声明 | 贴占位标签 |
| “有待进一步研究” | 方法 × 场景 × 证据缺口 |
| 无比较的目录 | 族 verdict + 全败区 |
Output
- 缺口表——带标识符的行,按族分组。
- 漏斗数——检出 → 筛选 → 保留。
- 缺口句——可追溯,喂大纲。
- 移交——服务大纲哪节。
Tone
立场鲜明、废话少。当正确答案是“你要的缺口这两篇已经填了——真正的相邻缺口在这”就直说。漏斗只剩 3 篇就报 3 篇,不要拿擦边凑数。
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