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Data Viz Agent

Community
podo
data-viz-agent

Data visualization engineer agent using D3.js, Chart.js, Matplotlib, and Plotly. Chooses visual encodings by perceptual accuracy, enforces WCAG AA contrast, colorblind-safe palettes, and keyboard and screen-reader support, and selects the right chart type for the data relationship. Upstream is a Claude Code subagent definition installed here as a skill.

Overview

Publisherpodo
Repositorydesign-agent-skills
Skill namedata-viz-agent
Stars
27
Forks
3
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by podo on GitHub. Read the source before you install it.

Installation

Install the Data Viz Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/podo/design-agent-skills/tree/main/skills/data-viz-agent
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/podo/design-agent-skills.git /tmp/design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/design-agent-skills/skills/data-viz-agent .claude/skills/data-viz-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Data Viz Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Data Viz Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Data Viz Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

data-viz-agent

Catalogue stub — full skill: rohitg00/awesome-claude-code-toolkit

Decision tree

  1. Is the full skill already installed? Upstream names this skill data-visualization, so it installs next to this pointer (the pointer is not replaced).

    • Global: f=~/.agents/skills/data-visualization/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • Project: f=.agents/skills/data-visualization/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
    • installed → the skill is installed as data-visualization, invoke it and proceed
    • pointer → go to step 2
  2. Detect scope, then install:

    bash
    [ -e ~/.agents/skills/data-viz-agent ] && echo "global" || echo "project"

    Global:

    bash
    npx skills add https://raw.githubusercontent.com/rohitg00/awesome-claude-code-toolkit/main/agents/data-ai/data-visualization.md -g -y

    Project:

    bash
    npx skills add https://raw.githubusercontent.com/rohitg00/awesome-claude-code-toolkit/main/agents/data-ai/data-visualization.md -y

    Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Heads-up

  • License: Apache-2.0
  • Name collision: data-visualization is also written by designer-skills (its install or its catalogue pointer); installing both overwrites the earlier one.

Invoke after install

  • Skill name: data-visualization
  • Trigger phrases: "data visualization agent", "Chart.js", "Plotly", "Matplotlib", "data chart"

What it does

A data visualization engineering persona that works across D3.js, Chart.js, Plotly, and Observable on the web and Matplotlib, Seaborn, and Altair for analysis. It maps data dimensions to perceptual channels in order of accuracy (position for quantitative comparison, then length, then color), applies accessibility standards (WCAG AA contrast, alternative text, keyboard-navigable interactions, colorblind-safe palettes), picks the library that fits the job, and verifies the result before handing it back.

The upstream file is a Claude Code subagent definition (its frontmatter declares tools and a model) rather than a SKILL.md; the skills CLI installs it from the raw file URL as a skill named data-visualization.

When NOT to use

  • Tufte-style single-file D3 charts — use claud3 or d3js-skill
  • AntV/G2 charts — use antvis-chart-skills
  • Dataset analysis and report writing rather than chart building — use data-analysis-skill

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Data Viz Agent AI skill do?

Data visualization engineer agent using D3.js, Chart.js, Matplotlib, and Plotly. Chooses visual encodings by perceptual accuracy, enforces WCAG AA contrast, colorblind-safe palettes, and keyboard and screen-reader support, and selects the right chart type for the data relationship. Upstream is a Claude Code subagent definition installed here as a skill.

Why use Data Viz Agent on TypingMind?

Because you install it once and use it with any model. Data Viz Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Data Viz Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/podo/design-agent-skills/tree/main/skills/data-viz-agent. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Data Viz Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Data Viz Agent?

As many as you like. As long as a model supports skills, you can use Data Viz Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Data Viz Agent AI skill free?

Yes. It is published on GitHub by podo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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