hikaru122700/cim-cac-maxcut-g22/literature-search
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Systematic literature review methodology including search strategy, screening, and synthesis. Use when conducting literature reviews or writing background sections.
Install
npx vskill@latest install hikaru122700/cim-cac-maxcut-g22/literature-searchSKILL.md
The same SKILL.md was published earlier as boboegg/ai-resources/literature-search.
Literature Search Best Practice
Search Strategy Design
- Define research question using PICO framework (Population, Intervention, Comparison, Outcome)
- Identify 2-4 core concepts from the research question
- List synonyms, abbreviations, and related terms for each concept
- Combine terms with Boolean operators: AND (between concepts), OR (within synonyms)
- 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
- Document exact search strings for reproducibility
Inclusion and Exclusion Criteria
- Define date range (e.g., last 5-10 years for rapidly evolving fields)
- Specify language restrictions (typically English)
- Specify publication types (peer-reviewed, preprints, conference papers)
- Define study design requirements (RCTs, observational, computational)
- Set domain-specific filters (species, methodology, sample size)
- Document all criteria BEFORE screening begins
PRISMA Methodology
- Record total hits from each database before deduplication
- Remove duplicates and record count
- Screen titles and abstracts against inclusion criteria (record excluded count)
- Full-text review of remaining papers (record excluded with reasons)
- Report final included studies with PRISMA flow diagram
- For scoping reviews, use PRISMA-ScR extension
Screening and Quality Assessment
- Use two-pass screening: title/abstract first, then full text
- 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
- Extract data systematically using a predefined extraction form
Synthesis Approaches
- Narrative synthesis: Organize findings thematically, identify patterns and contradictions
- Meta-analysis: Pool quantitative results when studies are sufficiently homogeneous
- Gap analysis: Explicitly identify what is NOT covered in the literature
- Summarize key findings per theme with supporting citation counts
- Highlight conflicting results and possible explanations
- End with clear statement of research gaps that motivate your study
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Source
- SKILL.md in the repositoryCheckingAutoResearchClaw/researchclaw/skills/builtin/experiment/literature-search/SKILL.md
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