literature-review
Systematic search methodology, taxonomy construction, citation graph exploration, and related work synthesis for ML research.
npx skills add majiayu000/claude-skill-registry --skill literature-review-jlaws-dotfiles --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 for ML Research ## Search Strategy by Research Phase ### Decision Table: Search Approach | Phase | Goal | Primary Source | Strategy | |-------|------|---------------|----------| | Scoping | Understand landscape | Survey papers, textbooks | Start broad, read abstracts only | | Deep dive | Core related work | Semantic Scholar, Google Scholar | Citation graph: forward + backward | | Gap finding | Identify what is missing | Recent venue proceedings | Filter by venue + year, read intros | | Positioning | Place your contribution | Top-cited papers in subfield | Compare methods, build taxonomy | | Camera-ready | Complete related work | arxiv, workshop papers | Fill gaps reviewers might flag | ### Decision Table: Source Selection | Source | Best For | Limitations | |--------|----------|-------------| | Google Scholar | Broad search, citation counts | Noisy results, includes predatory | | Semantic Scholar | Citation graph, API access | Smaller index than GS | | arxiv | Preprints, latest work | No peer review, variable quality | | DBLP | Venue-specific search | Metadata only, no full text | | Connected Papers | Visual citation graph | Limited to seed paper quality | | Pap
- Search Strategy by Research Phase
- Decision Table: Search Approach
- Decision Table: Source Selection
- Systematic Search Methodology
- Query Construction
- Semantic Scholar API Usage
- Paper Summary Template
- Comparison Table Template
- Taxonomy Construction
- Building a Taxonomy
- Related Work Section Structure
- Staying Current
- Monitoring Strategy
- arxiv Monitoring Script
What does the literature-review skill do?
Systematic search methodology, taxonomy construction, citation graph exploration, and related work synthesis for ML research.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill literature-review-jlaws-dotfiles --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.