Yorkeccak Scientific Skills
- 54 repo stars
- Updated January 21, 2026
- yorkeccak/scientific-skills
yorkeccak-scientific-skills is a Claude Code plugin that adds natural-language semantic search skills over major scientific literature and compound databases.
About
yorkeccak-scientific-skills is a Claude Code plugin bundle that adds natural-language scientific literature search skills with semantic retrieval over PubMed, arXiv, ChEMBL, DrugBank, bioRxiv, medRxiv, clinical trials, and related sources, positioning itself as zero API complexity for developers who are not bioinformatics engineers. founders in health, biotech, deep-tech SaaS, or research-backed content products install it during Idea research to map prior art, spot regulatory or efficacy signals, and narrow what is worth validating on a landing page or scoped prototype. The canonical shelf is Idea → research, but the same queries support Validate scope decisions and Build docs when you need inline citations for PRDs or compliance narratives. One plugin in the bundle keeps the integration surface small compared with hand-rolling Entrez, Crossref, or chemistry database clients. Intermediate comfort with Claude Code skills invocation helps; you still must judge paper quality and licensing yourself.
- Natural-language search across PubMed, arXiv, bioRxiv, medRxiv, and related corpora
- Semantic search over ChEMBL, DrugBank, and clinical-trial style sources without per-API setup
- Single-plugin bundle marketed as zero API complexity for Claude scientific workflows
- Valyu-backed skills keywords for literature discovery inside the agent
- Supports scope validation with cited papers before you prototype
Yorkeccak Scientific Skills by the numbers
- Data as of Jul 28, 2026 (Skillselion catalog sync)
/plugin install yorkeccak-scientific-skills@yorkeccak/scientific-skillsAdd your badge
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| repo stars | ★ 54 |
|---|---|
| Last updated | January 21, 2026 |
| Repository | yorkeccak/scientific-skills ↗ |
What it does
Query PubMed, arXiv, preprints, ChEMBL, DrugBank, and trials in plain language from Claude Code without wiring each API yourself.
Who is it for?
Best when you're validating science-heavy ideas in biotech, health, or research tooling and live in Claude Code during discovery.
Skip if: Products with no research component or teams that require institutional library proxies and formal systematic-review workflows only.
What you get
After install, you ask research questions in plain language and get semantically ranked hits across bundled scientific sources without maintaining separate API integrations.
- Activated scientific literature search skills in Claude Code
- Ranked paper and dataset pointers across bundled sources
- Research snippets you can paste into scope docs or validation notes
By the numbers
- Plugin bundle count: 1
- Source repository: yorkeccak/scientific-skills
- Indexed source families include PubMed, arXiv, ChEMBL, DrugBank, bioRxiv, medRxiv, and clinical trials
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Research search skills bundle, not a wet-lab protocol runner or statistical analysis MCP.
FAQ
Who is Yorkeccak Scientific Skills for?
It is for Claude Code users who need fast semantic literature and database search across biomedical and scientific sources without custom API plumbing.
When should I use Yorkeccak Scientific Skills?
Use it during idea research, competitor scanning, and scope validation whenever citations from PubMed, arXiv, preprints, or ChEMBL-style data would change what you build.
How do I add Yorkeccak Scientific Skills to my agent?
Add the yorkeccak/scientific-skills plugin to Claude Code, enable its bundled skill per the repository instructions, and invoke the scientific search skills from your research prompts.