Plotly (Claude Skill)
Interactive scientific visualization with Plotly.
| 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/data-visualization/plotly-interactive-plots ~/.claude/skills/The skill declares its own Python dependencies in its
SKILL.md; install them when prompted on first use.
What it does
Interactive scientific visualization with Plotly. Two APIs: plotly.express (px) for one-liner DataFrame plots, plotly.graph_objects (go) for trace-level control. 40+ chart types with hover, zoom, pan, animation. Exports HTML or static PNG/SVG/PDF via kaleido. Use for volcano plots with gene hover, dose-response dashboards, expression heatmaps, 3D molecular views. Use seaborn for stats; matplotlib for publication figures.
Primary use cases: volcano plots with gene hover, dose-response dashboards, expression heatmaps, 3D molecular views.
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/data-visualization/plotly-interactive-plots.
Sources
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