charts

To generate publication-ready charts, this skill provides standardized templates and workflows for matplotlib, seaborn, and Playwright. You render an example from the references to verify layout and styling, then adapt the template with your own structured data.

Yes, matplotlib and seaborn templates are included specifically to standardize visual workflows and accelerate production-ready dashboards. The library provides guidelines to ensure consistent visuals across automated rendering pipelines.

The best way to standardize chart visuals is applying this unified library of templates, rules, and tooling. It enforces consistent styling across data charts, mind maps, and diagrams by providing pre-validated layouts for multiple frameworks.

Yes, Playwright is supported alongside CSS to enable interactive visuals. The skill includes templates for Playwright+CSS workflows, allowing you to render interactive dashboards and interactive charts from structured data.

Yes, the skill identifies chart units by validating SKILL.md and extracting mandatory YAML frontmatter. This metadata extraction captures core components like scripts and references, producing a structured object to enable automated discovery of the templates.

ECharts templates target interactive visual workflows rather than static publication figures. For high-quality publication outputs, you should use the provided matplotlib and seaborn templates instead of the ECharts or Playwright interactive options.