Render raw data as interactive Chart.js browser charts with screenshot verification.
npx skills add https://github.com/npow/claude-skills --skill chart-npow
Please help me install this Agent Skill. Skill: chart Source: https://github.com/npow/claude-skills/tree/main/chart Command: npx skills add https://github.com/npow/claude-skills --skill chart-npow
This Skill turns raw data and chart requests into readable, interactive browser visualizations, avoiding static images and manual chart configuration.
Ask the chart skill to render the provided dataset as an interactive chart in the browser and verify the result with a screenshot.
High-intent search queries and answers about installing and using this skill.
Interactive charts render directly in the browser using Chart.js, replacing static images with live visuals. The Skill generates bar, line, pie, doughnut, and radar charts, then opens them in a browser to verify the result with a screenshot.
Chart.js supports time series and benchmark comparison visualizations natively. The Skill automatically selects appropriate chart types like line charts for trends and radar charts for multi-criteria benchmark analysis, formatting datasets and assigning consistent colors.
Category comparisons and part-of-whole proportions are best displayed using bar, pie, and doughnut charts. The Skill configures responsive container sizing and visual defaults to render these interactive browser charts accurately.
Browser rendering requires Chart.js, responsive container sizing, configured visual defaults, a static render signal, and browser-based screenshot verification. No external components or dependencies are needed beyond the browser environment.
Interactive charts fail to render due to common sizing, styling, CDN, and JavaScript issues. The Skill diagnoses these problems by waiting for a reliable render signal and capturing a screenshot to verify the visualization.
Verify generated charts by opening them in a browser, waiting for a reliable render signal, and capturing a screenshot. This render validation process diagnoses common sizing, styling, and JavaScript issues to ensure accurate data visualization.
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