Skip to content
TrustedSkillsbeta
Back to all skills

Cellxgene Census

Listed
davila7·vlatest·data·MIT

Cellxgene Census provides a comprehensive database of cell types and their associated genes, aiding researchers in understanding cellular diversity and biological pathways.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill cellxgene-census -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with Cellxgene Census, a tool for analyzing single-cell gene expression data. It enables users to query and retrieve information about cell types, marker genes, and other relevant features within datasets. The agent can perform tasks such as identifying the most abundant cell types or finding genes that are differentially expressed between different groups of cells.

When to use it

  • Biological Research: A researcher wants to quickly identify the dominant cell populations in a newly generated single-cell dataset.
  • Data Exploration: A data scientist is exploring a public Cellxgene Census dataset and needs help understanding its contents.
  • Report Generation: An analyst needs to automatically generate reports summarizing key findings from a Cellxgene Census analysis.
  • Educational Purposes: A student wants to learn about single-cell gene expression analysis using a conversational interface.

Key capabilities

  • Querying cell type abundances
  • Identifying marker genes for specific cell types
  • Retrieving information about datasets
  • Performing differential expression analysis (implied)

Example prompts

  • "What are the most abundant cell types in the 'Mouse_Immune_v1' dataset?"
  • "Can you tell me which genes are markers for T cells in this dataset?"
  • "Show me a list of all available datasets."

Tips & gotchas

This skill requires familiarity with Cellxgene Census terminology and data structure. The agent’s responses will depend on the quality and completeness of the underlying Cellxgene Census data.