agentsclimarketplace
Sign in

Compbioagent explorer

Skill BioTender-max/awesome-bio-agent-skills/skills/openclaw/compbioagent-explorer

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.From the repository description

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill compbioagent-explorer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.9 KB, 507 tokens by cl100k_base, as published. Nobody here has run it

<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

name: compbioagent-explorer description: scRNA-seq Explorer keywords:

  • single-cell
  • visualization
  • web-app
  • cellxgene
  • exploration measurable_outcome: Launch a local web instance for interactive scRNA-seq exploration and generate 3+ custom visualizations per session. license: MIT metadata: author: CompBioAgent Team version: "1.0.0" compatibility:
  • system: Python 3.9+ allowed-tools:
  • run_shell_command
  • web_fetch

CompBioAgent (Single-Cell Explorer)

An LLM-powered web application for single-cell RNA-seq data exploration, integrating with CellDepot and Cellxgene VIP.

When to Use

  • Interactive Exploration: When you need to visually explore a dataset without writing code.
  • Hypothesis Generation: Quickly checking expression of specific markers across clusters.
  • Sharing: Presenting data to non-computational collaborators.

Core Capabilities

  1. Natural Language Querying: "Show me the expression of TP53 in the B-cell cluster."
  2. Cellxgene Integration: Leverages robust visualization tools.
  3. Data Integration: Connects with CellDepot for dataset retrieval.

Workflow

  1. Setup: pip install compbioagent.
  2. Launch: compbioagent start --data ./data.h5ad.
  3. Interact: Open the local URL (e.g., http://localhost:8050) and chat with the agent to generate plots.

Example Usage

User: "Launch the explorer for my kidney dataset."

Agent Action:

compbioagent launch --port 8080 --data ./kidney_atlas.h5ad
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.