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Cancer dependency analyst

Name a gene or cell line. Get which cancers depend on it and which drugs hit them.

Cancer dependency analyst is a free AI skill for the job "Research a topic properly". Give the instructions to an AI assistant that supports the required files and tools, then review its output.

Free · No account · MIT licence · Made by K-Dense · Level: advanced

Made by K-Dense. See the original on GitHub; we copied it as it is, with its licence.

What it does

Name a gene or cell line and see which cancers need it to survive and which drugs hit them. The skill works from DepMap, the public map of gene knockout screens in cancer cells, and gives you ranked lists you can take to the lab as ideas to test. It finds the latest data release first and checks which files are really available, since some links are blank. Then it ranks dependencies, compares groups defined before you look, checks genes that rise and fall together, and links them to drug response data. It is careful to say that results suggest targets and do not prove a drug works. You need data downloads and a way to run code.

You give it

A gene name or cell line
The cancer type or group to compare (optional)
A DepMap release to use (optional)
A computer that can download data and run code

You get

Ranked gene dependencies for your target
Group comparisons between cell lines
Related genes that behave alike
Drug response links with clear limits on what they mean

Use it when

You study a gene and want to know which cancer types rely on it.
You need to pick cell lines for an experiment and want the ones most sensitive to a knockout.
You are looking for drugs that match a known weakness in a tumour group.
You want to check if two genes share a dependency.

How to use it

Add it to your AI once: download it and add the folder to Claude, ChatGPT or Codex as a skill.
Ask for the job in your own words. Your AI opens the skill when it fits.
It works best when your AI can run Python code and download public data.