charts
SolidProduce charts as interactive native figures (Plotly JSON) in output/, or as matplotlib PNG/SVG when an image file is needed — readable sizing, labels, and legends, validated before delivery.
Install
Quality Score: 82/100
Skill Content
Details
- Author
- brightwave-inc
- Repository
- brightwave-inc/tidebreak
- Created
- 2 months ago
- Last Updated
- today
- Language
- Rust
- License
- Apache-2.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
gen-chart
Create polished, validated charts as a self-contained interactive HTML artifact or standalone SVG. In callers that display local Markdown images, also create an inline PNG preview. Interactive HTML includes dark/light themes, crosshair tooltips, legend toggling, and honest-by-construction axes. Accept pasted data (CSV/TSV/JSON/markdown tables), data files in the workspace, or plain-language descriptions with numbers. Use when the user asks to chart, graph, plot, or visualize data, metrics, or trends — line, bar, area, range, scatter, bubble, horizontal diverging bar, pie/donut, histogram, boxplot, or heatmap — or to beautify an existing chart.
gen-chart
Create polished, validated, interactive charts as self-contained standalone HTML with inline SVG, dark/light themes, crosshair tooltips, legend toggling, and honest-by-construction axes. Accept pasted data (CSV/TSV/JSON/markdown tables), data files in the workspace, or plain-language descriptions with numbers. Use when the user asks to chart, graph, plot, or visualize data, metrics, or trends — line, bar, area, scatter, pie/donut, histogram, boxplot, or heatmap — or to beautify an existing chart.
chart-image
Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.