<!-- COPYRIGHT NOTICE This file is part of the "Universal Biomedical Skills" project. Copyright c 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu All Rights Reserved. This code is proprietary and confidential. Unauthorized copying of this file, via any medium is strictly prohibited. Provenance:
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill "compbioagent-explorer" -g -a claude-code -yOr manually — copy the SKILL.md below into:
~/.claude/skills/compbioagent-explorer/SKILL.md<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# 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**:
```bash
compbioagent launch --port 8080 --data ./kidney_atlas.h5ad
```
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