vega

Render Vega and Vega-Lite data visualizations inside Markdown documents.

Updated Apr 25, 2026
One-click install
npx skills add https://github.com/shekerkamma/markdown-viewer-skills-audit --skill vega-shekerkamma
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vega
Source: https://github.com/shekerkamma/markdown-viewer-skills-audit/tree/main/vega
Command: npx skills add https://github.com/shekerkamma/markdown-viewer-skills-audit --skill vega-shekerkamma

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Vega enables declarative and programmatic data visualization inside Markdown environments by embedding charts with minimal boilerplate, enabling charts to be produced from data to be rendered inline in documents.

Core Features & Use Cases

  • Declarative Vega-Lite charts embedded in Markdown using code fences
  • Supports both Vega-Lite and Vega with schema-based encoding
  • Use cases include dashboards, reports, and technical docs with data-backed visuals

Quick Start

Structure your data as an array of objects, select a Vega or Vega-Lite mark, map fields to encodings, and render the spec within Markdown.

Frequently Asked Questions about vega

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I render Vega-Lite charts inside Markdown documents?

To render Vega-Lite charts inside Markdown, you embed declarative JSON specifications within code fences. You map structured data fields to encoding channels and select a mark type to generate the visualization inline.

Can I use full Vega specs instead of Vega-Lite for data visualization in Markdown?

Yes, you can use full Vega specs alongside Vega-Lite for data visualization in Markdown. Both formats are supported using schema-based encoding, allowing you to choose Vega for advanced programmatic control or Vega-Lite for concise declarative charts.

What is the best way to create data-driven charts for technical reports and dashboards?

The best way to create data-driven charts for technical reports is using declarative Vega-Lite specifications. By structuring your data as an array of objects and mapping fields to encodings, you can produce repeatable visualizations with minimal boilerplate.

Do I need to format my data as JSON to use Vega visualizations in Markdown?

Yes, you need to format your data as structured JSON arrays of objects to use Vega visualizations in Markdown. The Vega rendering process requires valid JSON syntax and mandatory schema definitions to correctly map data fields to visual encodings.

Why does my Vega-Lite chart not render correctly in Markdown?

Your Vega-Lite chart may not render correctly in Markdown if the JSON syntax is invalid or if mandatory schema definitions are missing. Ensuring correct field encodings and validating the structured data array will resolve common rendering failures.