stagent
description: A multimodal LLM-based AI agent for deep spatial transcriptomics research, capable of dynamic code generation, visual reasoning, and literature retrieval.'
npx skills add majiayu000/claude-skill-registry --skill stagent --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: st-agent description: A multimodal LLM-based AI agent for deep spatial transcriptomics research, capable of dynamic code generation, visual reasoning, and literature retrieval. license: MIT metadata: author: LiuLab-Bioelectronics-Harvard source: "https://github.com/LiuLab-Bioelectronics-Harvard/STAgent" version: "1.0.0" compatibility: - system: Python 3.9+ - framework: Scanpy, Sqidpy allowed-tools: - run_shell_command - read_file - web_fetch keywords: - stagent - automation - biomedical measurable_outcome: execute task with >95% success rate. ---" # STAgent (Spatial Transcriptomics Agent) STAgent is a comprehensive agent designed to automate and enhance the analysis of spatial transcriptomics (ST) data. It leverages Large Language Models (LLMs) to bridge the gap between complex ST data and biological insights. ## When to Use This Skill * **Data Analysis**: When you need to analyze spatial transcriptomics datasets (e.g., 10x Visium, Xenium). * **Visual Reasoning**: When you need to interpret spatial plots, H&E images, or cluster maps. * **Code Generation**: When you need to generate Scanpy/Sqidpy code for custom analysis workflows. * **Hypothesis Generation**: When you want
- When to Use This Skill
- Core Capabilities
- Workflow
- Example Usage
What does the stagent skill do?
description: A multimodal LLM-based AI agent for deep spatial transcriptomics research, capable of dynamic code generation, visual reasoning, and literature retrieval.'
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill stagent --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.