Yorkeccak Scientific Skills
yorkeccak-scientific-skills is a Claude Code plugin for the Idea phase that adds natural-language semantic search skills over major scientific literature and compound databases.
by yorkeccak · github.com/yorkeccak/scientific-skills
Query PubMed, arXiv, preprints, ChEMBL, DrugBank, and trials in plain language from Claude Code without wiring each API yourself.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install yorkeccak-scientific-skills@yorkeccak/scientific-skillsBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:yorkeccak/scientific-skills") and the paste-ready config with skillselion.get_install_config("plugin:yorkeccak/scientific-skills").
What it does
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 builders who are not bioinformatics engineers. Solo 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.
Highlights
- 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
Why builders use it
Builders waste days wiring PubMed, preprint, and chemistry APIs when they only need fast, credible literature answers inside the agent.
After install, you ask research questions in plain language and get semantically ranked hits across bundled scientific sources without maintaining separate API integrations.
At a glance
- Type - Plugin in AI Agents.
- Adoption - 0 installs, 30 stars, 0 votes.
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.
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