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literature-review

Search scholarly databases and synthesize evidence-claim maps with citations.

Updated May 15, 2026
Search Tags:#literature review#academic writing#citation verification#bibtex#scholarly search#evidence-claim map
One-click install
npx skills add https://github.com/lth0/codexSkill --skill literature-review-lth0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: literature-review
Source: https://github.com/lth0/codexSkill/tree/main/skills/agents/research-writing/literature-review
Command: npx skills add https://github.com/lth0/codexSkill --skill literature-review-lth0

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you write academic literature review sections by searching for sources, organizing them by themes, synthesizing evidence, and drafting a structured, citation-backed overview without inventing references.

Core Features & Use Cases

  • No-fabrication guardrails: Enforces strict rules that all claims must be traceable to verifiable sources, with heightened caution for uncertain or missing data.
  • Multi-database literature search: Supports Scholar-style searching across PubMed, CrossRef, Semantic Scholar, and arXiv via an integrated script, including multiple output citation formats.
  • Evidence-claim mapping: Requires transforming retrieved literature into an evidence-claim map with explicit citation slots before considering the review “complete.”
  • English/Chinese workflow: Guides English search through online databases and instructs users to use CNKI for Chinese literature, while the AI focuses on strategy and organization once abstracts are provided.

Quick Start

Use the literature-review skill to draft your literature review topic by searching English sources and producing an evidence-claim map before writing the first draft.

Frequently Asked Questions about literature-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a literature review without fabricating citations?▼

To write a literature review without fabricating citations, use an evidence-claim map workflow that enforces strict anti-fabrication guardrails. This ensures every core claim is verifiably sourced from retrieved literature.

What is an evidence-claim map for academic writing?▼

An evidence-claim map for academic writing is a structured workflow that transforms retrieved literature into explicit citation slots before drafting. It ensures every synthesized claim in your literature review is verifiably sourced.

Can I search PubMed and arXiv to generate BibTeX citations?▼

Yes, you can search PubMed and arXiv to generate BibTeX citations. The integrated script supports Scholar-style searching across multiple databases and outputs citation formats including JSON, BibTeX, RIS, APA, MLA, Chicago, and Vancouver.

How do I find Chinese literature for a related-work section?▼

To find Chinese literature for a related-work section, the workflow instructs you to search the CNKI database directly. Once you provide the abstracts, the AI focuses on organizing the evidence and synthesizing the review.

Does this literature review tool work for research proposals?▼

Yes, this literature review tool works for research proposals, theses, and current-state writing. It organizes sources by themes and synthesizes them into structured, citation-backed prose suitable for these academic formats.

What citation formats are supported for scholarly search outputs?▼

Supported citation formats for scholarly search outputs include JSON, BibTeX, RIS, APA, MLA, Chicago, and Vancouver. The integrated script generates these formats to map evidence to claims accurately.

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