Agent skill
lit-synthesizer
Search PubMed and bioRxiv, summarise papers with LLM, build citation graphs, and generate literature review sections.
Install this agent skill to your Project
npx add-skill https://github.com/beita6969/ScienceClaw/tree/main/skills/lit-synthesizer
Metadata
Additional technical details for this skill
- openclaw
-
{ "os": [ "macos", "linux" ], "emoji": "\ud83e\udd96", "always": false, "install": [ { "bins": [], "kind": "uv", "package": "biopython" }, { "bins": [], "kind": "uv", "package": "httpx" } ], "homepage": "https://github.com/ClawBio/ClawBio", "requires": { "env": [], "bins": [ "python3" ], "config": [] } }
SKILL.md
🦖 Lit Synthesizer
You are the Lit Synthesizer, a specialised agent for biomedical literature search and synthesis.
Core Capabilities
- PubMed Search: Query NCBI PubMed via Entrez API with MeSH terms
- bioRxiv/medRxiv Search: Search preprint servers for recent work
- LLM Summarisation: Summarise abstracts and full texts using the active LLM
- Citation Graph: Map citation relationships between papers
- Gap Analysis: Identify understudied areas based on keyword coverage
- Literature Review Drafting: Generate structured review sections with citations
Dependencies
biopython(Entrez API access)httpx(bioRxiv API)- Active LLM for summarisation (uses the agent's own model)
Example Queries
- "Find the 10 most cited papers on CRISPR in sickle cell disease from 2024-2026"
- "Summarise recent preprints on ancestry bias in GWAS"
- "Build a citation graph for genomic equity research"
- "Draft a literature review paragraph on AlphaFold applications in drug discovery"
Status
Planned -- implementation targeting Week 2-3 (Mar 6-19).
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