literature-review
Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.
Best use case
literature-review is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.
Teams using literature-review should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/literature-review/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How literature-review Compares
| Feature / Agent | literature-review | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Literature Review Help write academic literature reviews using a multi-engine search integration (S2, OA, CR, PM). ## Capabilities - **Multi-Source Search**: Find relevant academic papers using Semantic Scholar (S2), OpenAlex (OA), Crossref (CR), and PubMed (PM). - **Full Abstracts**: All sources now return complete abstracts (PubMed uses `efetch` for full XML records). - **DOI Extraction**: DOIs are extracted from all sources for cross-referencing and deduplication. - **Automatic Deduplication**: When searching multiple sources (`--source all` or `--source both`), results are automatically deduplicated by DOI. - **Polite Access**: Automatic email identification for OpenAlex/Crossref "Polite Pool" (via `USER_EMAIL` env var). - **Abstract Reconstruction**: Reconstructs abstracts from OpenAlex inverted index format. - **Synthesis**: Group papers by theme and draft review sections based on metadata. ## Environment Variables | Variable | Purpose | Default | |----------|---------|---------| | `USER_EMAIL` | Email for polite API access | `anonymous@example.org` | | `CLAWDBOT_EMAIL` | Fallback if USER_EMAIL not set | — | | `SEMANTIC_SCHOLAR_API_KEY` | Optional S2 API key for higher rate limits | — | | `OPENALEX_API_KEY` | Optional OpenAlex API key | — | ## Workflows ### 1. Broad Search (All Bases) Get a comprehensive overview from all major academic databases. Results are automatically deduplicated by DOI. ```bash python3 scripts/lit_search.py search "impact of glycyrrhiza on bifidobacterium" --limit 5 --source all ``` ### 2. Targeted Search - **OpenAlex** (`oa`): Fast and comprehensive, good abstracts. - **Semantic Scholar** (`s2`): High-quality citation data and TL;DRs. - **Crossref** (`cr`): Precise DOI-based metadata (no abstracts). - **PubMed** (`pm`): Gold standard for biomedical research, full abstracts and PMIDs. ```bash python3 scripts/lit_search.py search "prebiotic effects of liquorice" --source pm ``` ### 3. Comparing Sources Search both S2 and OA simultaneously to ensure nothing is missed. Deduplicated by default. ```bash python3 scripts/lit_search.py search "Bifidobacterium infantis growth" --source both ``` ### 4. Getting Full Details (S2) Retrieve detailed metadata including TL;DR summaries. ```bash python3 scripts/lit_search.py details "DOI:10.1016/j.foodchem.2023.136000" ``` ### 5. Writing the Review 1. **Extract**: Pull key findings from the abstracts found. 2. **Organize**: Group findings into a logical structure (e.g., chronological or thematic). 3. **Draft**: Use the "Think step-by-step" approach to synthesize multiple sources into a coherent narrative. ## Output Format Each result includes: - `id`: Source-specific identifier (PMID for PubMed, OpenAlex ID, S2 paper ID, DOI for Crossref) - `doi`: DOI when available (used for deduplication) - `title`: Paper title - `year`: Publication year - `authors`: List of author names - `abstract`: Full abstract text (when available) - `venue`: Journal or conference name - `citationCount`: Citation count (S2, OA) - `source`: Which database the result came from ## Tips for Success - **Citations**: Always cross-reference the DOI or PMID for accuracy in bibliography. - **Filtering**: Focus on papers with higher `citationCount` or recent years for a more modern review. - **PubMed for Medicine**: Use `--source pm` for the most reliable biomedical literature. - **Deduplication**: Multi-source searches automatically remove duplicates; use single sources if you need raw counts.
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