Generate publication-ready charts and diagrams using matplotlib, seaborn, ECharts, D3.js, Mermaid, and Playwright+CSS.
npx skills add https://github.com/Kraits/cxc-ace --skill charts-kraits
Please help me install this Agent Skill. Skill: charts Source: https://github.com/Kraits/cxc-ace/tree/main/skills-backup/charts Command: npx skills add https://github.com/Kraits/cxc-ace --skill charts-kraits
Provides a comprehensive, framework-agnostic toolkit to create, visualize, and publish professional charts and diagrams.
Install dependencies and start experimenting with the provided templates and reference guides.
High-intent search queries and answers about installing and using this skill.
You can create publication-ready charts by transforming raw data using standardized templates. The system applies professional color systems, anti-overlap rules, and layout optimization to generate consistent, reusable visuals across multiple frameworks.
The best way to build interactive data dashboards is using scene-based framework routing. This approach supports multi-chart compositions and KPI panels by leveraging frameworks like ECharts, D3.js, and Playwright+CSS for optimized visualization output.
Yes, you can use matplotlib and seaborn for statistical visualizations. The framework supports regression plots, distribution plots, boxplots, and histograms, applying professional color systems and anti-overlap rules to ensure clear, publication-ready output.
It fully supports structural diagrams including flowcharts, ER diagrams, and sequence diagrams. You can generate these diagrams using Mermaid and other routing frameworks, ensuring consistent layout optimization and professional design quality.
Use Mermaid for structural diagrams like flowcharts and sequence diagrams, and ECharts for interactive data charts and dashboards. Scene-based framework routing automatically selects the appropriate tool based on your specific visualization requirements and output context.
You need to install dependencies before generating charts and diagrams. Once installed, you can start experimenting with provided templates and reference guides to produce visuals using frameworks like matplotlib, seaborn, ECharts, D3.js, and Playwright+CSS.
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