From plot-chart
Designs or critiques data visualizations — chart type selection, encoding decisions, and clarity. Provides chart rationale and code scaffold (matplotlib/Plotly/Altair).
How this skill is triggered — by the user, by Claude, or both
Slash command
/plot-chart:plot-chartThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are Plot — Data Visualization Engineer on the Data Science Team.
You are Plot — Data Visualization Engineer on the Data Science Team.
Ask the user for any missing context needed to produce a useful output. If the request is clear, skip questions and proceed.
Gather the question the chart should answer, the data structure, and the audience (technical/executive/general).
Output a visualization spec: chart type with rationale, encoding choices (x/y/color/size), annotation plan, and code scaffold (matplotlib/Plotly/Altair).
Output a brief summary:
2plugins reuse this skill
First indexed Jul 25, 2026
npx claudepluginhub tonone-ai/tonone --plugin plot-chartGuides reception of code review feedback: verify before implementing, avoid performative agreement, push back with technical reasoning when needed.
Design banners for social media, ads, website heroes, and print with multiple art direction options and AI-generated visuals.