Claude Scientific Skills Desktop
Description
A Claude Desktop extension (.mcpb) that delivers the claude-scientific-skills corpus via a tiny librarian tool surface. Built as a self-contained Bun binary (no Node/Python required for users). Offline fat bundle by default; optional thin/auto-update mode.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Scientific Skills Desktop (Bun MCPB)
A Claude Desktop extension (.mcpb) that delivers the `claude-scientific-skills` corpus via a tiny librarian tool surface. Built as a self-contained Bun binary (no Node/Python required for users). Offline fat bundle by default; optional thin/auto-update mode.
Features
- 128+ curated scientific skills, JIT-loaded to avoid prompt bloat
- Tools:
search_skills,read_skill,list_skills - Domains: bioinformatics, cheminformatics, proteomics, clinical, materials, physics, ML
- Data sources: PubMed, ChEMBL, COSMIC, UniProt, ClinicalTrials.gov (26+)
- Libraries: RDKit, Scanpy, DeepChem, DiffDock, scvi-tools, Qiskit (54+)
- Integrations: Benchling, OMERO, Protocols.io (15+)
- Offline fat bundle; optional thin/auto-update via
CORPUS_URL
Install (Desktop)
- Download
scientific-skills-fat.mcpb(fat/offline) from Releases. - Claude Desktop → Settings → Extensions → Install Extension → select the .mcpb.
Usage
// Search for a skill
{ "tool": "search_skills", "arguments": { "query": "biopython" } }
// Read a skill (full doc)
{ "tool": "read_skill", "arguments": { "id": "bioinformatics/biopython/SKILL.md" } }
// Read a section with truncation
{ "tool": "read_skill", "arguments": { "id": "bioinformatics/biopython/SKILL.md", "section": "Installation", "max_chars": 4000 } }
Thin/auto-update mode (optional)
- Set
CORPUS_URL(env) to a tar.gz corpus; server will download to${__dirname}/.cacheon first run. CORPUS_PATHandCACHE_DIRare set via manifest env to the bundle root by default.
Build
bun build src/index.ts --compile --outfile bin/skills-mcp
./scripts/pack-fat.sh # fat bundle with corpus
./scripts/pack-thin.sh # thin bundle (no corpus)
Credits
- Corpus and original MCP concept: K-Dense-AI/claude-scientific-skills (MIT)
- Desktop packaging and Bun binary: Mat Silverstein
License
MIT
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**Generated:** 2026-04-11