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DataPython

BioServices

by K-Dense-AI

BioServices is a Data skill for Claude Code, published by K-Dense-AI in scientific-agent-skills.

33.5K stars3.3K forkson K-Dense-AI/scientific-agent-skillsAdded 2026/08/14Repository updated 2026/08/13
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skillsclaudecodeclinical-researchcomputational-biologydata-analysisdrug-discoverygenomicsmaterials-sciencemetabolomicsproteomicsscientific-computingscientific-visualization
Install in seconds
Install BioServices
Copy BioServices into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/bioservices ~/.claude/skills/bioservices

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
skills/bioservices/SKILL.md in K-Dense-AI/scientific-agent-skills
Installs to
~/.claude/skills/bioservices
Collection
One of 25 skills cataloged from this repository
Category
Data โ€” 668 skills

What BioServices does

BioServices provides a unified Python interface to 40+ bioinformatics web services for retrieving protein, pathway, compound, and sequence data. Use it when queries span multiple databases like UniProt, KEGG, ChEMBL, or Reactome and require consistent cross-database ID mapping.

BioServices is cataloged under Data on DirSkills. BioServices comes from a repository tagged agent-skills, ai-scientist, bioinformatics, chemoinformatics and claude.

Documentation

README

BioServices

Overview

BioServices is a Python package providing programmatic access to approximately 40 bioinformatics web services and databases. Retrieve biological data, perform cross-database queries, map identifiers, analyze sequences, and integrate multiple biological resources in Python workflows. The package handles both REST and SOAP/WSDL protocols transparently.

Version note: Examples target bioservices 1.16.0 (PyPI, Mar 2026). Requires Python 3.9โ€“3.12. UniProt REST changes in mid-2022 (bioservices โ‰ฅ1.10) mainly affect tabular columns names โ€” see upstream _legacy_names if parsing breaks. ChEMBL wrappers changed at 1.6.0 (2018 API); use get_similarity, get_substructure, get_molecule instead of pre-1.6 method names.

When to Use This Skill

This is the opening of the README. Read the full README on GitHub.

Frequently asked about BioServices

  • What else does K-Dense-AI publish alongside BioServices?

    BioServices is one of 25 skills that DirSkills catalogs from K-Dense-AI/scientific-agent-skills, the repository it ships in. Its siblings there include Adaptyv Bio Foundry API, Aeon and Analytical Method Validation. Each one is a separate skill with its own page in this directory, installs the same way BioServices does, and is maintained by K-Dense-AI in that same repository. The rest of the collection is listed on the K-Dense-AI/scientific-agent-skills page.

  • How does BioServices compare to other Data skills?

    BioServices ranks #41 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of BioServices against them. Open each page to compare what they document and how they install.

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