CellChat (Claude Skill)
Infer and visualize intercellular communication from scRNA-seq with CellChat (R).
| Type | Claude Skill |
| Supplier | jaechang-hits (community OSS, CC BY 4.0) |
| Availability | GA — part of the BixBench-evaluated SciAgent-Skills collection |
| Pricing | Free / OSS (MIT) |
| Capabilities | Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool |
How to install
SciAgent-Skills is not an npm package — skills are plain markdown read directly by the agent (no npx/npm).
- Claude Code — clone and load as a plugin:
git clone https://github.com/jaechang-hits/SciAgent-SkillsThen inside Claude Code run
/plugin install sciagent-skills(verify it appears under/plugin→ Installed). Clone into your project directory so Claude Code picks the skills up viaCLAUDE.md. - Manual / other agents — point the agent at the skill file directly:
cp -r SciAgent-Skills/skills/systems-biology-multiomics/cellchat-cell-communication ~/.claude/skills/The skill declares its own Python dependencies in its
SKILL.md; install them when prompted on first use.
What it does
Infer and visualize intercellular communication from scRNA-seq with CellChat (R). Build CellChat from Seurat/counts → subset CellChatDB ligand-receptor pairs → over-expressed genes per group → communication probabilities → pathway signaling → network centrality (senders/receivers/influencers) → chord/heatmap/bubble plots → cross-condition compare. Human, mouse. Use liana for pure-Python.
Primary use cases: Infer and visualize intercellular communication from scRNA-seq with CellChat (R).
Notes
Distributed as a SKILL.md (plus code examples) in the SciAgent-Skills collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: MIT. The skill directory upstream is skills/systems-biology-multiomics/cellchat-cell-communication.
Sources
jaechang-hits/SciAgent-Skillsskills/systems-biology-multiomics/cellchat-cell-communication/SKILL.md
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