d3-visualization-guide
Guide to D3.js for building custom interactive data visualizations
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill d3-visualization-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# D3.js Visualization Guide ## Overview D3.js (Data-Driven Documents) is the most powerful and flexible JavaScript library for producing dynamic, interactive data visualizations in web browsers. With over 112K stars on GitHub, D3 has become the de facto standard for custom data visualization on the web. It uses HTML, SVG, and CSS to bring data to life, giving researchers full control over the fina
What does the d3-visualization-guide skill do?
Guide to D3.js for building custom interactive data visualizations
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill d3-visualization-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.