# Literature Search

Systematic literature review methodology including search strategy, screening, and...

- Repository: https://github.com/aiming-lab/AutoResearchClaw (14798 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-08-19
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add aiming-lab/AutoResearchClaw --skill literature-search -g -a claude-code -y`
Codex: `npx skills add aiming-lab/AutoResearchClaw --skill literature-search -g -a codex -y`
Cursor: `npx skills add aiming-lab/AutoResearchClaw --skill literature-search -g -a cursor -y`
Gemini CLI: `npx skills add aiming-lab/AutoResearchClaw --skill literature-search -g -a gemini-cli -y`

## Description

Systematic literature review methodology including search strategy, screening, and synthesis. Use when conducting literature reviews or writing background sections.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

## Literature Search Best Practice

### Search Strategy Design
1. Define research question using PICO framework (Population, Intervention, Comparison, Outcome)
2. Identify 2-4 core concepts from the research question
3. List synonyms, abbreviations, and related terms for each concept
4. Combine terms with Boolean operators: AND (between concepts), OR (within synonyms)
5. Select at least 3 complementary databases relevant to the domain:
   - Biomedical: PubMed, Scopus, Web of Science
   - Computer science: arXiv, Semantic Scholar, DBLP, ACL Anthology
   - Interdisciplinary: Google Scholar, OpenAlex
6. Document exact search strings for reproducibility

### Inclusion and Exclusion Criteria
1. Define date range (e.g., last 5-10 years for rapidly evolving fields)
2. Specify language restrictions (typically English)
3. Specify publication types (peer-reviewed, preprints, conference papers)
4. Define study design requirements (RCTs, observational, computational)
5. Set domain-specific filters (species, methodology, sample size)
6. Document all criteria BEFORE screening begins

### PRISMA Methodology
1. Record total hits from each database before deduplication
2. Remove duplicates and record count
3. Screen titles and abstracts against inclusion criteria (record excluded count)
4. Full-text review of remaining papers (record excluded with reasons)
5. Report final included studies with PRISMA flow diagram
6. For scoping reviews, use PRISMA-ScR extension

### Screening and Quality Assessment
1. Use two-pass screening: title/abstract first, then full text
2. Apply quality assessment tools appropriate to study type:
   - RCTs: Cochrane Risk of Bias tool
   - Observational: Newcastle-Ottawa Scale
   - ML papers: check reproducibility, dataset validity, statistical rigor
3. Extract data systematically using a predefined extraction form

The rest: https://github.com/aiming-lab/AutoResearchClaw/blob/HEAD/.claude/skills/literature-search/SKILL.md