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Anndata

Checked
ovachiever·vlatest·data

This skill facilitates efficient data handling with Anndata objects, streamlining analysis and manipulation for pandas users.

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 ovachiever/droid-tings --skill anndata -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

ovachiever

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned ovachiever/droid-tings at 7acd12a754.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7acd12a754
Manifest
skills/anndata/SKILL.md
Scanned
6 files, 2,229 lines
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

The anndata skill allows AI agents to process and analyze AnnData objects, a common file format in single-cell genomics. It can load, inspect, and perform basic operations on these datasets, enabling tasks like visualizing cell populations or extracting specific data points. This skill facilitates working with complex biological data directly within an AI agent workflow.

When to use it

  • Analyzing single-cell RNA sequencing (scRNA-seq) data: Load a dataset and identify clusters of cells based on gene expression.
  • Extracting information from multi-omics datasets: Combine different types of data stored in an AnnData object, such as gene expression and protein levels.
  • Preparing data for machine learning models: Preprocess AnnData objects to create features suitable for training AI models.
  • Exploring spatial transcriptomic data: Visualize cell locations and their associated gene expression profiles from spatially resolved datasets.

Key capabilities

  • Loading AnnData objects from file paths
  • Inspecting the structure of AnnData objects (e.g., number of cells, genes)
  • Accessing specific data layers within an AnnData object (e.g., raw counts, normalized expression)
  • Basic data manipulation and filtering

Example prompts

  • "Load the AnnData object from /path/to/my_data.h5ad."
  • "Show me the number of cells in this AnnData object."
  • "What genes are present in the 'counts' layer?"

Tips & gotchas

Requires familiarity with AnnData objects and their structure. Ensure the AI agent has access to the necessary file paths for loading data.