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Literature review search

Skill keithhegit/sci-using-kit/skills/literature-review-search

A skill family for evidence-bounded SCI manuscript workflows: literature vetting, claim-evidence alignment, paper revision, reviewer preflight, LaTeX editing, and submission packaging.

Install
npx -y skills add keithhegit/sci-using-kit --skill literature-review-search

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Use when finding references, building literature review tables, identifying up-to-date or highly cited papers, comparing research methods, verifying citation quality, mapping references to claims, or converting AI literature notes into SCI-ready bibliography inputs

SKILL.md

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Literature Review Search

Purpose

Use this skill to turn a research topic into a citation-safe literature review table and a claim-evidence map. The default output language is Chinese unless the user asks otherwise.

Core Workflow

  1. Define the research scope:
    • problem domain;
    • method keywords;
    • target application;
    • preferred venues or source types;
    • time window and "classic/high-citation" exceptions.
  2. Search online when references, publication status, citation recency, journal names, or latest papers are requested.
  3. Prefer primary sources:
    • publisher pages, DOI pages, arXiv, IEEE, ACM, Elsevier, Springer, CVF, MDPI, Nature, NASA/ESA/CCSDS pages;
    • use secondary summaries only as leads.
  4. Verify each candidate:
    • exact title;
    • venue or institution;
    • publication year;
    • DOI/arXiv/publisher URL where available;
    • method and conclusion from abstract/full text, not from another model's paraphrase.
  5. Classify evidence quality:
    • A. 可直接引用: title, venue, year, and source are verified.
    • B. 可候选引用: relevant but missing DOI/full metadata or only preprint available.
    • C. 仅作线索: found in model output or blog/source list but not yet verified.
    • D. 不建议引用: exact title cannot be verified or source appears hallucinated.
  6. Produce the requested table. If the user only asks for the four-column format, use exactly:
    • 参考文献名称;
    • 研究方法和研究结论;
    • 期刊/会议/机构名称;
    • 发表时间.
  7. For paper-building tasks, add optional columns only when useful:
    • 与本研究的关系;
    • 可支撑的论文 claim;
    • 核验状态;
    • 来源链接.
  8. Never convert unverified model-generated references into final citations.

Search Strategy

Build several query groups instead of one broad query:

  • core topic query: problem + application;
  • method query: key algorithm or system method;
  • benchmark query: dataset / evaluation / baseline;
  • mission or industry query: NASA, ESA, CCSDS, mission names;
  • review query: survey, review, state of the art;
  • exact-title query for suspicious candidates.

For "up-to-date, highly cited" requests:

  • include recent papers from the last 3-5 years;
  • include older classics when they define the field;
  • do not invent citation counts;
  • if citation counts are not verified from a citation index, say "高被引待核" or omit the count.

Output Discipline

  • Separate literature-supported facts from project claims that still need experiments.
  • Use cautious language for arXiv papers, workshops, and technical reports.
  • Do not claim novelty from absence of evidence after a shallow search.
  • Do not say a method is "first", "best", or "state of the art" unless the source itself and current literature support it.
  • Preserve links to sources used.
  • Flag questionable references explicitly instead of silently dropping them when they came from the user.

Useful References

Read these bundled files when needed:

  • references/search_prompt.cn.md: reusable Chinese prompt adapted from the research-guide PDF.
  • references/output_contract.cn.md: table formats, vetting labels, and claim-evidence mapping rules.

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