antvis/chart-visualization-skills

⛏️ Turning data into a visual language for better thinking with Skills.

Owned by Alibaba

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antvis/chart-visualization-skills has 500+ stars and 30+ forks on GitHub, is written in JavaScript, and was last pushed on Sep 22, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 14 minutes ago
Added to GitGenius on October 12th, 2026
Created on January 22nd, 2026
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 38
Total Stargazers: 512 (+0)
Total Subscribers: 4 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.9 days
Mean response time: 55.2 days
90th percentile: 180.9 days
Tracked items: 16

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 258 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Chart Visualization Skills is a collection of AI-powered visualization generation tools designed to automate the creation of charts and graphs from data.

The project addresses the challenge of transforming raw data into effective visual representations by providing intelligent skills that automatically select appropriate chart types and generate visualization code. It integrates AI capabilities to streamline the visualization workflow, allowing users to describe their data and requirements while the system handles chart type selection, parameter extraction, and code generation. The approach combines a large library of chart types with AI-driven specification interpretation to reduce manual design work.

The tool suits teams and analysts who need to quickly generate visualizations without deep charting expertise. It works well for scenarios ranging from daily reporting to interactive dashboards and exploratory data analysis. The project provides three main skills: a general chart visualization skill supporting 26+ chart types across multiple categories, an AntV G2 code generator for statistical visualizations with 30+ chart types and advanced features like data transforms and interactions, and an AntV G6 graph generator for network and relational data visualization. Users can integrate these skills into Claude Code or install them for use with multiple AI agents.

The project explicitly accepts only AI-generated code contributions, with a workflow where contributors submit issues describing requirements and assign them to an automated system rather than following traditional pull request processes. This reflects a development model centered on AI-assisted code generation rather than conventional community contribution patterns.