Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
8.3
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0
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Data & Analytics
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Excellent bioinformatics skill providing comprehensive KEGG REST API access. The SKILL.md is exceptionally well-structured with clear operation definitions, practical code examples, and five detailed workflow patterns covering gene-pathway mapping, enrichment analysis, and cross-database integration. The description accurately conveys the skill's purpose and academic-use constraints. Task knowledge is outstanding with complete coverage of all seven core API operations (info, list, find, get, conv, link, ddi), identifier formats, and troubleshooting guidance. Structure is exemplary: concise overview with indexed sections and appropriate references to external files for deeper documentation. Novelty is strong—while KEGG API is accessible via HTTP, this skill provides organized wrappers, workflow orchestration, and domain knowledge that would require significant token expenditure for a CLI agent to replicate. Minor deduction on novelty only because basic REST API calls are straightforward; however, the pathway analysis workflows and cross-database integration patterns add substantial value. This is a production-ready skill that would significantly benefit bioinformatics researchers.
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