gget (Claude Skill)

Claude skill that teaches the gget unified API for querying 20+ genomics databases from a single Python or command-line interface.


Type	Claude Skill
Supplier	K-Dense Inc. (community OSS)
Availability	GA — actively maintained 2025–2026
Pricing	Free / OSS
Capabilities	Read-only — queries public databases via gget

How to install

Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone jaechang-hits/SciAgent-Skills and run /plugin install sciagent-skills in Claude Code (or copy skills/genomics-bioinformatics/databases/gget-genomic-databases into ~/.claude/skills/).
Claude Code / Claude.ai — Skills CLI (recommended):
```
npx skills add K-Dense-AI/scientific-agent-skills
```
Installs the K-Dense collection; enable the gget skill when prompted (also works in Cursor/Codex via the Agent Skills spec; requires Node ≥ 18).

Claude Code / Claude Desktop — manual clone:

git clone https://github.com/K-Dense-AI/scientific-agent-skills
cp -r scientific-agent-skills/skills/gget ~/.claude/skills/
pip install gget

What it does

Recipes for gget commands against:

Ensembl — gene information, sequences, orthologs, variants
UniProt — protein sequences and annotations
NCBI — BLAST searches, gene information
RCSB PDB — protein structures
COSMIC — cancer mutations
Other curated databases through a single Python/CLI interface

Includes batch-query support, pandas DataFrame integration, and result formatting.

Primary use cases: Quick gene lookups, sequence retrieval, variant annotation, orthology checks, protein structure access without per-database API setup.

Notes

Useful when a workflow needs heterogeneous lookups (gene → sequence → ortholog → structure) without orchestrating separate database clients. For dedicated UniProt or PDB workflows, the standalone MCP servers expose more specialised tooling.

Sources

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