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Tooluniverse Immune Repertoire Analysis

Checked
mims-harvard·vlatest·other·Apache-2.0

Analyzes immune repertoires from diverse datasets to identify biomarkers and therapeutic targets using advanced AI modeling.

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 mims-harvard/tooluniverse --skill tooluniverse-immune-repertoire-analysis -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

mims-harvard

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Live repository

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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.

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    Makes no network calls.

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    Scanned mims-harvard/tooluniverse at f5c37eebeb.

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Commit
f5c37eebeb
Manifest
skills/tooluniverse-immune-repertoire-analysis/SKILL.md
Scanned
9 files, 2,229 lines
Copies in repo
3 — all of them scanned
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About this skill

The tooluniverse-immune-repertoire-analysis skill enables AI agents to analyze immune system repertoires by processing complex biological datasets. It facilitates the discovery of specific antibody or T-cell receptor sequences and their associated functional properties within immunological studies.

When to use it

  • Investigating personalized vaccine responses based on individual patient immune profiles.
  • Identifying rare antigen-specific B-cell clones in autoimmune disease research.
  • Analyzing high-throughput sequencing data from single-cell RNA-seq experiments.
  • Mapping epitope-binding specificities across diverse human populations.

Key capabilities

  • Processes large-scale immunosequencing datasets to extract repertoire metrics.
  • Identifies clonal expansions and contraction patterns within immune responses.
  • Correlates sequence diversity with functional outcomes in experimental conditions.
  • Supports analysis of both B-cell receptor (BCR) and T-cell receptor (TCR) repertoires.

Example prompts

  • "Analyze the provided V(D)J sequencing data to identify dominant clonal families in this patient sample."
  • "Compare immune repertoire diversity between control and treated groups using statistical metrics."
  • "Extract unique CDR3 sequences from the dataset and predict their potential antigen binding specificities."

Tips & gotchas

Ensure input datasets are properly formatted for immunosequencing analysis to avoid parsing errors. This tool is specialized for biological data; do not use it for general text processing or non-immunological tasks.