← ClaudeAtlas

res-litreviewlisted

Structured literature review — search strategy, inclusion/exclusion screening, quality appraisal, and synthesis map of a research field. Use when user says "literature review", "lit review", or needs to map what is already known about a topic.
meshcode-ai/skills-research · ★ 1 · Code & Development · score 63
Install: claude install-skill meshcode-ai/skills-research
# Literature Review ## Search strategy - Separate databases: academic (Google Scholar, Scopus, PubMed, etc.) vs. industry (reports, blogs) — do not mix them in one section. - Search terms: 2–3 core concepts × synonyms/English aliases. Record which query was run on which database (reproducibility). - Snowballing: expand citations and cited-by of 3 representative papers one generation at a time. Discovery usually saturates at 20–40 papers total. ## Screening criteria (PRISMA flow) 1. Title/abstract → include/exclude. **Record a one-line exclusion reason for each** (to address bias disputes later). 2. Full-text appraisal: ① study-design tier (experiment > cohort > cross-sectional > case report) ② sample size & representativeness ③ data & code availability ④ journal/source credibility ⑤ conflicts of interest & funding. 3. Duplicate studies of the same finding count as 1 meta-unit — organize by finding, not by study. ## Synthesis principles - The unit is the **finding**, not the study name: what was found, in whom, how it was established. - Split findings into 3 groups: replicated / single-study / conflicting. Interpret conflicts via sample, period, and measurement differences where possible. - Mark research gaps explicitly as "unknown". Do not manufacture conclusions without evidence. ## Output ``` # Literature Review — {topic} ## Position paper (3 lines: what is settled in this field) ## Findings table (claim | replication level | strongest evidence | conflicting?) ## Gaps &