This lets you query the Cancer Dependency Map directly from Claude to pull CRISPR knockout scores, drug sensitivity data, and gene essentiality profiles across hundreds of cancer cell lines. You'd use it for target validation (is this gene essential in KRAS-mutant lung cancer?), finding synthetic lethal pairs, or checking if a dependency is pan-cancer essential or selective. The skill includes both API queries and local analysis patterns using downloaded DepMap CSV files. One thing to know: the dependency scores use the Chronos scale where more negative means more essential, with -1 being the typical threshold for strong dependencies. It's built by Kuan-lin Huang and covers the standard DepMap workflows like biomarker analysis and co-essentiality correlation.
- skills.sh installs
- 2K
- GitHub stars
- 56.6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add k-dense-ai/scientific-agent-skills --skill depmap --agent claude-codeInstalls into .claude/skills of the current project.
Files
DepMap — Cancer Dependency Map
When to use
Use this skill to rank dependencies in cancer models, compare prespecified biomarker cohorts, inspect co-essentiality, or relate genetic dependencies to PRISM compound response. These analyses generate target and synthetic-lethality hypotheses; they do not establish clinical efficacy, a therapeutic window, or a causal interaction.
DepMap integrates Broad and Sanger CRISPR screens and hosts independent RNAi and drug-screen datasets. Match each question to its assay and pinned release. RNAi DEMETER2 is a different perturbation modality, not an older CRISPR scoring method.
1. Discover a release, then obtain its files
Use DepMap Downloads and the selected
release's README and release notes. On review, the live catalogue's latest
DepMap Public release was 26Q1, dated 2026-04-01. Rediscover before new work;
a release name or expected quarter is not evidence a release is available.
Verified public endpoint
Sponsors
Details
- Repository
- github.com/k-dense-ai/scientific-agent-skills
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
