cellagent
description: LLM-driven multi-agent framework for automated single-cell analysis.'
npx skills add majiayu000/claude-skill-registry --skill cellagent --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
---name: cell_agent description: LLM-driven multi-agent framework for automated single-cell analysis. keywords: - scRNA-seq - scanpy - annotation - autonomous - bioinformatics measurable_outcome: Achieves >85% accuracy in cell type annotation compared to manual curation on standard benchmarks. license: MIT metadata: author: Artificial Intelligence Group version: "1.0.0" compatibility: - system: Python 3.9+ allowed-tools: - run_shell_command - read_file ---" # CellAgent CellAgent is a multi-agent system capable of autonomously handling the entire single-cell RNA-seq (scRNA-seq) analysis pipeline. It simulates a team of biological experts to process data, annotate cells, and perform downstream analysis. ## When to Use This Skill * **Automated Annotation**: When you have raw scRNA-seq data and need cell type labels without manual curation. * **Complex Workflows**: For multi-step analysis (QC -> Clustering -> Annotation -> DE Analysis). * **Data Integration**: When merging multiple datasets (e.g., from different batches). ## Core Capabilities 1. **Planning**: Decomposes analysis goals into executable steps. 2. **Tool Execution**: Generates and runs Python code for Scanpy/Seurat. 3. **S
- When to Use This Skill
- Core Capabilities
- Workflow
- Example Usage
- References
Assuming a wrapper exists or running the main module from the repo python3 Skills/Genomics/Single_Cell/CellAgent/repo/main.py --data "./data.h5ad" --goal "annotate"
What does the cellagent skill do?
description: LLM-driven multi-agent framework for automated single-cell analysis.'
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cellagent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.