Plugin name
chartwright
Short description
Evergreen chart and graph skills: an evidence-based knowledge base of chart types (when to use each, when not to, substitutes) and sixteen render targets, from Mermaid and Vega-Lite to editable PowerPoint and Excel charts, PNG/SVG and terminal sparklines. A deterministic chooser and builder CLI takes data by file reference to save tokens, and a curation skill researches new chart requests and grows the knowledge base.
GitHub repository
m4bwav/chartwright
Plugin path inside the repository
No response
Ref to review
v0.8.5
Commit SHA to review
38b8dd57c576827b1fdb02b3ff411cc9ceec65f9
Version
0.8.5
License identifier
MIT
Author name
Mark Rogers
Author URL
https://github.com/m4bwav
Homepage URL
https://github.com/m4bwav/chartwright
Keywords
charts
graphs
data-visualization
mermaid
vega-lite
echarts
plotly
chartjs
matplotlib
pptx
Additional notes for reviewers
Picks a chart type for the data and renders it for the place it will be read (Mermaid, Vega-Lite, Plotly, Chart.js, matplotlib, PPTX). Runs a bundled Python CLI (cw.py) locally; PlantUML and QuickChart image targets reach those services, and npx fetches a pinned Mermaid CLI only when mmdc is missing.
Submission checklist
Plugin name
chartwright
Short description
Evergreen chart and graph skills: an evidence-based knowledge base of chart types (when to use each, when not to, substitutes) and sixteen render targets, from Mermaid and Vega-Lite to editable PowerPoint and Excel charts, PNG/SVG and terminal sparklines. A deterministic chooser and builder CLI takes data by file reference to save tokens, and a curation skill researches new chart requests and grows the knowledge base.
GitHub repository
m4bwav/chartwright
Plugin path inside the repository
No response
Ref to review
v0.8.5
Commit SHA to review
38b8dd57c576827b1fdb02b3ff411cc9ceec65f9
Version
0.8.5
License identifier
MIT
Author name
Mark Rogers
Author URL
https://github.com/m4bwav
Homepage URL
https://github.com/m4bwav/chartwright
Keywords
charts
graphs
data-visualization
mermaid
vega-lite
echarts
plotly
chartjs
matplotlib
pptx
Additional notes for reviewers
Picks a chart type for the data and renders it for the place it will be read (Mermaid, Vega-Lite, Plotly, Chart.js, matplotlib, PPTX). Runs a bundled Python CLI (cw.py) locally; PlantUML and QuickChart image targets reach those services, and npx fetches a pinned Mermaid CLI only when mmdc is missing.
Submission checklist