Kegg Database
This gives you direct REST API access to KEGG's bioinformatics database for pathway analysis, gene mapping, and metabolic networks. It includes Python helper functions for all the core operations: searching genes and compounds, converting IDs between databases like UniProt and NCBI, linking genes to pathways, and even checking drug-drug interactions. The skill is well-structured with both ready-to-use functions and reference docs. One thing to remember: KEGG's API is officially academic use only, so keep that license restriction in mind. If you're doing complex multi-database work in Python, the docs suggest bioservices might be better, but this is solid for direct KEGG-specific queries.
- skills.sh installs
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- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill kegg-database --agent claude-codeInstalls into .claude/skills of the current project.
Files
KEGG Database
Overview
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive bioinformatics resource for biological pathway analysis and molecular interaction networks.
Important: KEGG API is made available only for academic use by academic users.
When to Use This Skill
This skill should be used when querying pathways, genes, compounds, enzymes, diseases, and drugs across multiple organisms using KEGG's REST API.
Quick Start
The skill provides:
- Python helper functions (
scripts/kegg_api.py) for all KEGG REST API operations - Comprehensive reference documentation (
references/kegg_reference.md) with detailed API specifications
When users request KEGG data, determine which operation is needed and use the appropriate function from scripts/kegg_api.py.
Core Operations
1. Database Information (kegg_info)
Retrieve metadata and statistics about KEGG databases.
When to use: Understanding database structure, checking available data, getting release information.
Usage:
from scripts.kegg_api import kegg_info
# Get pathway database info
info = kegg_info('pathway')
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- Repository
- github.com/davila7/claude-code-templates
- Categories
- Backend & APIs, Python, Marketing & SEO, Databases
- First seen
- Jun 3, 2026
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