This connects you to COSMIC, the Sanger Institute's massive cancer mutation database with millions of somatic mutations across thousands of cancer types. You get programmatic access to the Cancer Gene Census, mutational signatures, gene fusions, and drug resistance data. Requires free registration for academic use or a commercial license. The included download script handles authentication and lets you pull specific datasets like mutation exports, structural variants, or copy number alterations in TSV or VCF format. Works with both GRCh38 and GRCh37 assemblies. If you're building cancer genomics pipelines or need to filter variants by oncogenic relevance, this beats scraping the web interface.

skills.sh installs
217
GitHub stars
33.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill cosmic-database --agent claude-code

Installs into .claude/skills of the current project.

Files

COSMIC Database

Overview

COSMIC (Catalogue of Somatic Mutations in Cancer) is the world's largest and most comprehensive database for exploring somatic mutations in human cancer. Access COSMIC's extensive collection of cancer genomics data, including millions of mutations across thousands of cancer types, curated gene lists, mutational signatures, and clinical annotations programmatically.

When to Use This Skill

This skill should be used when:

  • Downloading cancer mutation data from COSMIC
  • Accessing the Cancer Gene Census for curated cancer gene lists
  • Retrieving mutational signature profiles
  • Querying structural variants, copy number alterations, or gene fusions
  • Analyzing drug resistance mutations
  • Working with cancer cell line genomics data
  • Integrating cancer mutation data into bioinformatics pipelines
  • Researching specific genes or mutations in cancer contexts

Prerequisites

Account Registration

COSMIC requires authentication for data downloads:

Sponsors

Details

Repository
github.com/davila7/claude-code-templates
Categories
Backend & APIs, Security, Data Science & ML, Databases
First seen
Jun 3, 2026

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