D3 Visualization Agent Skill
| Teaches the agent to produce D3 charts and interactive data visualizations. A comprehensive D3.js skill with examples across chart types and techniques giving the agent expert-level knowledge to generate complex, interactive visualizations. Useful for editorial dashboards, reports, data-rich prototypes, and explanatory graphics.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/nexu-io/open-design --skill d3-visualizationThe instruction itself
4 sections, as written by the authord3-visualization
> Curated from @jiannanya.
What it does
Teaches the agent to produce D3 charts and interactive data visualizations. A comprehensive D3.js skill with examples across chart types and techniques giving the agent expert-level knowledge to generate complex, interactive visualizations. Useful for editorial dashboards, reports, data-rich prototypes, and explanatory graphics.
Source
- Upstream: https://github.com/jiannanya/snow-d3/
- Category:
diagrams
How to use
This catalogue entry advertises the skill in Open Design so the agent
discovers it during planning. To run the full upstream workflow with
its original assets, scripts, and reference documents, install the upstream
bundle into your active agent's skills directory:
# Inspect the upstream README for exact paths
open https://github.com/jiannanya/snow-d3/
# Clone or copy the snow-d3/ folder into your workspace's skills/ directory
git clone https://github.com/jiannanya/snow-d3.git skills/snow-d3
Then ask the agent to invoke this skill by name (d3-visualization) or with
one of the trigger phrases listed in this skill's frontmatter, e.g.:
> "Create a zoomable treemap for my sales data"
> "Build a force-directed network graph like example 07 but for my own dataset"
> "Generate a calendar heatmap in D3"
Other skills for the same job
different authors, same section of the catalogue
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UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
How to use it
Take nexu-io/d3-visualization from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.