Generate Vega and Vega-Lite visualizations from structured JSON or tabular data.
npx skills add https://github.com/markdown-viewer/skills --skill vega
Please help me install this Agent Skill. Skill: vega Source: https://github.com/markdown-viewer/skills/tree/main/vega Command: npx skills add https://github.com/markdown-viewer/skills --skill vega
Make it easy to turn structured JSON or tabular data into accurate, publication-quality charts directly inside Markdown, eliminating trial-and-error with schemas, encodings, and formatting.
Generate a Vega-Lite bar chart that visualizes monthly sales using fields month and sales and the Vega-Lite v5 schema.
High-intent search queries and answers about installing and using this skill.
You can generate interactive charts from JSON data by applying declarative Vega-Lite schemas to map structured fields to visual encoding channels. This approach renders publication-quality visualizations directly from tabular or JSON inputs without manual SVG coding.
Use Vega-Lite for declarative statistical charts like bar, line, scatter, and area visualizations. Choose Vega when you need programmatic layouts for advanced marks like radar charts or word clouds that require custom transform pipelines and lower-level layout control.
The best way to embed interactive visualizations in Markdown is by generating valid Vega-Lite JSON specifications with proper field mappings, color scales, and tooltip configurations. This renders dashboard-ready charts directly inside your documentation without external libraries.
Yes, you can create a word cloud from structured JSON by applying programmatic Vega schemas. This approach uses advanced Vega marks and transform pipelines to calculate text layouts, bypassing the standard declarative Vega-Lite syntax used for simpler charts.
Vega-Lite chart rendering fails when JSON formatting is invalid or field mappings are not strictly case-sensitive. Enforcing valid Vega-Lite schemas, verifying exact field name casing, and ensuring correct JSON formatting resolves these structural encoding errors.
Yes, this approach supports heatmap and radar visualizations for reporting. It applies declarative Vega-Lite patterns for heatmaps and programmatic Vega examples for radar charts, complete with color schemes and tooltip configurations for interactive stakeholder reports.
cyborgoatTransforms CSV, JSON and Excel tabular data into publication-ready Python visualizations.
gracefullightGenerate interactive Plotly visualizations for data analysis and reporting.
spqwIntegrate Vega-Lite charts into Observable Framework projects via JavaScript API or JSON specifications.
aryanshrai03Generate Vega-Lite and Vega charts from structured records with valid JSON specifications.
