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gget

8.3

by K-Dense-AI

113Favorites
335Upvotes
0Downvotes

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

bioinformatics

8.3

Rating

0

Installs

Data & Analytics

Category

Quick Review

Excellent bioinformatics skill providing unified CLI/Python access to 20+ genomic databases. The description clearly communicates capabilities and appropriate use cases. SKILL.md is exceptionally comprehensive with detailed parameter documentation, extensive examples for all 20+ modules, and 6 complete workflows covering gene discovery, sequence analysis, expression profiling, disease research, comparative genomics, and reference building. Structure is well-organized with logical module categorization (reference/gene info, sequence analysis, structural/protein, expression/disease, tools) and clear quick-start guidance. Task knowledge is outstanding with both CLI and Python examples for each module, common flags, output formats, best practices, and error handling guidance. Novelty is high: gget unifies disparate bioinformatics databases (Ensembl, UniProt, NCBI, BLAST, AlphaFold, ARCHS4, OpenTargets, cBioPortal, COSMIC, etc.) under one consistent interface, dramatically reducing the token cost and complexity that would be required for a CLI agent to query these databases individually with different APIs and authentication schemes. The skill provides significant value for interactive genomic exploration, quick lookups, and common analysis pipelines that would otherwise require extensive API knowledge and scripting.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty9

GitHub Signals

6,871
818
49
3
Last commit 1 days ago

Publisher

K-Dense-AI

K-Dense-AI

Skill Author

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K-Dense-AI

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