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literature-review-skills

literature-review-skills

github.com/xingtaxueshuProductivity7362 installsUpdated today
Repository

About literature-review-skills

Literature Review Skills is an entry point to skills for different stages of a literature review, helping researchers move from question refinement to identifying research gaps. It routes work to the smallest matching skill and requires claims to rely on user-provided or verified sources, avoiding fabricated references and findings.

Key features

  1. 01Refine review questions
  2. 02Decompose review modules
  3. 03Compare research methods
  4. 04Map contradictions in literature
  5. 05Locate research gaps
  6. 06Track source status for evidence integrity

Use cases

  1. 01Turn a broad topic into a review question
  2. 02Plan modules around a core question
  3. 03Synthesize conflicting research findings
  4. 04Turn a review conclusion into a research direction

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/xingtaxueshu/literature-review-skills --skill literature-review-skills

After installing, type/literature-review-skillsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.gitignore
CHANGELOG.md
CONTRIBUTING.md
LICENSE
README.zh-CN.md
README.md
examples/
prompts.md
literature-review-workflow.md
references/
source-integrity.md
output-contract.md
scripts/
check_references_sync.sh
skills/compare-research-methods/agents/
openai.yaml
skills/compare-research-methods/references/
source-integrity.md
output-contract.md
skills/decompose-review-modules/agents/
openai.yaml
skills/decompose-review-modules/references/
source-integrity.md
output-contract.md
skills/locate-review-research-gap/agents/
openai.yaml
skills/locate-review-research-gap/references/
output-contract.md
source-integrity.md
skills/map-literature-contradictions/agents/
openai.yaml
skills/map-literature-contradictions/references/
output-contract.md
source-integrity.md
skills/refine-literature-question/agents/
openai.yaml
skills/refine-literature-question/references/
output-contract.md
source-integrity.md

Details

From the project README

Literature Review Skills

This is the entry point for the five literature-review skills in this repository.

Use it when a user wants help with a literature review but has not yet chosen a specific skill. Route the user to the smallest skill that matches the current stage of work.

Skill Map

  1. refine-literature-question
    • Use when the user has a broad topic and needs a sharp one-sentence review question.
  2. decompose-review-modules
    • Use when the user already has a core question and needs 3-5 review modules.
  3. compare-research-methods
    • Use when the user needs to justify method choices or compare method routes.
  4. map-literature-contradictions
    • Use when the user has conflicting findings, notes, claims, or abstracts and needs a structured synthesis.
  5. locate-review-research-gap
    • Use when the user needs to turn the review ending into a concrete research gap or future study direction.

Source Integrity

Before starting any step, ask whether the user has real references (full records, abstracts, or notes). Follow references/source-integrity.md: use only sources the user provided or that are verified, tag each with a status (用户提供 / 已核验 / 未核验), and write "未查到" instead of completing authors, year, journal, or pages. If the user has no references yet, say so in the output and give a method framework without literature claims. If that file is not available, still apply these rules.

Every skill ends with the same closing sections, in this order: ## 段落草稿（需作者改写并核对来源） (only for skills that draft a paragraph), ## 待核实清单, ## 给作者的问题. See references/output-contract.md.

Recommended Sequence

If the user is starting from scratch, use the skills in this order:

refine-literature-question -> decompose-review-modules -> compare-research-methods -> map-literature-contradictions -> locate-review-research-gap

Do not treat this workflow as ghostwriting. The skills should help the researcher clarify questions, organize evidence, and test logic. They should not fabricate sources, invent findings, or replace the researcher's academic judgment. Generated paragraphs are drafts for the author to rewrite and check against sources.

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