skills/claude-scientific-skills
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Improve database description for more reliable skill calling

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Timothy Kassis
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scientific-databases/kegg-database/SKILL.md
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name: kegg-database
description: Work with the KEGG (Kyoto Encyclopedia of Genes and Genomes) database for biological pathway analysis, gene-to-pathway mapping, compound searches, and molecular interaction networks. Use this skill when working with pathway enrichment analysis, metabolic pathways, gene annotations, drug-drug interactions, or converting between biological database identifiers (KEGG, UniProt, NCBI Gene, PubChem). Supports querying pathways, genes, compounds, enzymes, diseases, and drugs across multiple organisms.
description: Access and analyze the KEGG (Kyoto Encyclopedia of Genes and Genomes) database for comprehensive biological pathway analysis, molecular interaction networks, and cross-database integration. Use this skill for pathway enrichment analysis, gene-to-pathway mapping, metabolic pathway exploration, drug-drug interaction checking, compound structure retrieval, enzyme pathway analysis, disease pathway investigation, and identifier conversion between KEGG and external databases (UniProt, NCBI Gene, PubChem, ChEBI). Supports querying pathways, genes, compounds, enzymes, diseases, drugs, reactions, modules, and orthology groups across multiple organisms including human, mouse, yeast, E. coli, and fruit fly. Key operations include database information retrieval, entry listing and searching, detailed entry retrieval in multiple formats (FASTA sequences, MOL structures, pathway images, KGML XML, JSON), cross-referencing between databases, ID conversion, and drug interaction analysis. Essential for bioinformatics workflows involving pathway analysis, systems biology, drug discovery, metabolic engineering, comparative genomics, and functional annotation of genes and proteins.
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# KEGG Database