lit-review
Structured literature search and synthesis with citation extraction and gap identification
npx skills add majiayu000/claude-skill-registry --skill lit-review-alohays-paper2pr --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Literature Review Conduct a structured literature search and synthesis on the given topic. **Input:** `$ARGUMENTS` — a topic, paper title, research question, or phenomenon to investigate. --- ## Steps 1. **Parse the topic** from `$ARGUMENTS`. If a specific paper is named, use it as the anchor. 2. **Search for related work** using available tools: - Check `master_supporting_docs/supporting_papers/` for uploaded papers - Use `WebSearch` to find recent publications (if available) - Use `WebFetch` to access working paper repositories (if available) - Read any existing `.bib` file for papers already in the project 3. **Organize findings** into these categories: - **Theoretical contributions** — models, frameworks, mechanisms - **Empirical findings** — key results, effect sizes, data sources - **Methodological innovations** — new estimators, identification strategies, inference methods - **Open debates** — unresolved disagreements in the literature 4. **Identify gaps and opportunities:** - What questions remain unanswered? - What data or methods could address them? - Where do findings conflict? 5. **Extract citations** in BibTeX format for all papers discussed. 6. **Save the report** t
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What does the lit-review skill do?
Structured literature search and synthesis with citation extraction and gap identification
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill lit-review-alohays-paper2pr --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.