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kegg-database

8.6

by davila7

163Favorites
258Upvotes
0Downvotes

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.

bioinformatics

8.6

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0

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Data & Analytics

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Quick Review

Excellent bioinformatics skill for KEGG database access. The description clearly defines when to use this skill (direct REST API work, KEGG-specific control) vs. alternatives (bioservices for multi-database Python workflows). SKILL.md is exceptionally well-structured with clear operation categories, practical code examples, and five complete workflow patterns covering common bioinformatics tasks (gene-pathway mapping, enrichment analysis, compound analysis, cross-database integration). Task knowledge is comprehensive with all seven KEGG operations documented, proper ID formats, API limitations, and troubleshooting guidance. The skill shows strong novelty by consolidating complex REST API interactions into reusable functions and providing domain-specific workflows that would require significant tokens for a CLI agent to discover and implement correctly. Structure is logical with quick start, core operations, workflows, and reference documentation separation. Minor room for improvement in making the academic-use-only restriction more prominent throughout the documentation.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

18,069
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Last commit 0 days ago

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davila7

davila7

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