Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
8.3
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Data & Analytics
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Excellent bioinformatics skill with comprehensive coverage of 40+ services. The description clearly indicates when to use this skill vs alternatives (gget, biopython). SKILL.md is exceptionally well-structured with clear capability sections, executable scripts for complete workflows, and references for deep details. Task knowledge is outstanding with concrete code examples for protein analysis, pathway discovery, compound searches, BLAST, ID mapping, GO queries, and PPI networks. Structure is exemplary: concise overview with practical examples in SKILL.md, while detailed documentation lives in referenced files. The skill provides genuine value by unifying multiple bioinformatics APIs with consistent interfaces and demonstrating cross-database integration patterns that would require significant token overhead for a CLI agent to coordinate independently. Minor consideration: while highly useful, the core value is API unification rather than novel algorithmic capability, slightly tempering novelty score.
K-Dense-AI
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