Agent skill

Data Viz Renderer

Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards.

MITAuto-check passedMedia & Creative

Install Data Viz Renderer

skills CLI

$ npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install zebbern/claude-code-guide data-viz-renderer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data-viz-renderer .claude/skills/data-viz-renderer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "data-viz-renderer" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer into .claude/skills/data-viz-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-renderer", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install zebbern/claude-code-guide data-viz-renderer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data-viz-renderer .agents/skills/data-viz-renderer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "data-viz-renderer" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer into .agents/skills/data-viz-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-renderer", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install zebbern/claude-code-guide data-viz-renderer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data-viz-renderer .cursor/skills/data-viz-renderer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "data-viz-renderer" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer into .cursor/skills/data-viz-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-renderer", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/zebbern/claude-code-guide.git --path skills/data-viz-renderer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install zebbern/claude-code-guide data-viz-renderer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data-viz-renderer .gemini/skills/data-viz-renderer && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "data-viz-renderer" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer into .gemini/skills/data-viz-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-renderer", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install zebbern/claude-code-guide data-viz-renderer

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data-viz-renderer .github/skills/data-viz-renderer && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "data-viz-renderer" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer into .github/skills/data-viz-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-renderer", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install zebbern/claude-code-guide data-viz-renderer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/zebbern/claude-code-guide.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data-viz-renderer .opencode/skills/data-viz-renderer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "data-viz-renderer" agent skill from https://github.com/zebbern/claude-code-guide/tree/main/skills/data-viz-renderer into .opencode/skills/data-viz-renderer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-viz-renderer", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: data-viz-renderer
GitHub stars: 4.6k
Token cost: ~1.3k tokens
SKILL.md length: 330 words
Files: 3 (incl. scripts)
Skills in repo: 46
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards.

Works in 4 steps: stats — Stat Cards → comparison — Bar Chart Comparison → flow — Flow Diagram → …
Tasks that involve Infographics
SKILL.md covers Usage, Output Format, Design Highlights and Use Cases, plus 1 more section
Runs Python scripts from its folder; calls python3

What it does

Data Viz Renderer is an agent skill from zebbern/claude-code-guide. Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards. Offers 8 color palettes and built-in icons with no external dependencies. Triggered when users request data visualization, infographics, charts, or dashboards.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/build_infographic.py`).

It sits in Media & Creative, covering Infographics, Data visualization and Theming and dark mode. The repository describes itself as: Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user! The licence is MIT.

When your agent uses it

Tasks that involve Infographics
Tasks that involve Data visualization
Tasks that involve Theming and dark mode

Example prompts

“/data-viz-renderer”

Requirements

Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

stats — Stat Cards
comparison — Bar Chart Comparison
flow — Flow Diagram
dashboard — Mixed Dashboard

What it can do on your machine

Read from SKILL.md and the folder at commit 4698e3b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Viz Renderer loads about 1.3k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 330 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~78
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from zebbern/claude-code-guide at commit 4698e3b, republished under its MIT licence (© zebbern). 330 words, ~1,339 tokens.

Download SKILL.mdSave it as .claude/skills/data-viz-renderer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: data-viz-renderer
description: Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards. Offers 8 color palettes and built-in icons with no external dependencies. Triggered when users request data visualization, infographics, charts, or dashboards.
license: MIT
type: tool
tags: infographic, visualization, svg, html, chart, dashboard

Data Viz Renderer

Generate self-contained HTML/SVG infographics from JSON data. Four supported types:

Stats Cards — KPI big numbers + trend arrows + icons
Comparison Chart — Grouped bar chart with multiple series
Flow Diagram — Step-by-step process with numbering, icons, and connecting arrows
Dashboard — Mixed layout: stat cards + bar chart + donut chart + flow

Output is a fully self-contained HTML file (all CSS/SVG inline, no external dependencies), ready to open directly in a browser.

Usage

Basic Usage

bash

python3 scripts/build_infographic.py config.json

Also supports reading from stdin:

bash

cat config.json | python3 scripts/build_infographic.py

The script outputs a JSON status to stdout and writes the generated HTML to the path specified in the output field.

JSON Configuration Format

Common fields:

Field	Type	Required	Description
`title`	string	No	Infographic title
`subtitle`	string	No	Subtitle
`type`	string	Yes	`stats` / `comparison` / `flow` / `dashboard`
`palette`	string	No	Color palette (default: `auto`)
`data`	object/array	Yes	Data content (format depends on type)
`output`	string	No	Output file path (default: `infographic.html`)
`footer`	string	No	Footer text

Color Palettes

Available values: auto (automatically chosen based on data), ocean, sunset, forest, berry, vibrant, corporate, pastel, earth

Data Format by Type

1. stats — Stat Cards

json

{
  "type": "stats",
  "data": [
    {
      "label": "Total Revenue",
      "value": "$1.2M",
      "icon": "money",
      "trend": "+12.5%",
      "trend_dir": "up"
    },
    {
      "label": "Users",
      "value": "45,230",
      "icon": "users",
      "trend": "+8.2%",
      "trend_dir": "up"
    }
  ]
}

icon options: users, user, money, percent, globe, clock, check, star, target, zap, chart-bar, chart-pie, database, rocket, shield, heart, light, search, mail, settings, flag, trending-up, trending-down

trend_dir: up (green upward arrow) or down (red downward arrow)

2. comparison — Bar Chart Comparison

json

{
  "type": "comparison",
  "data": {
    "chart_title": "Quarterly Revenue Comparison",
    "categories": ["Q1", "Q2", "Q3", "Q4"],
    "series": [
      {"name": "2024", "values": [320, 410, 380, 520]},
      {"name": "2025", "values": [380, 490, 450, 610]}
    ]
  }
}

3. flow — Flow Diagram

json

{
  "type": "flow",
  "data": [
    {"step": 1, "title": "Requirements", "description": "Gather user needs", "icon": "search"},
    {"step": 2, "title": "Design", "description": "Create technical plan", "icon": "light"},
    {"step": 3, "title": "Development", "description": "Code and test", "icon": "settings"},
    {"step": 4, "title": "Launch", "description": "Deploy to production", "icon": "rocket"}
  ]
}

4. dashboard — Mixed Dashboard

json

{
  "type": "dashboard",
  "data": {
    "stats": [
      {"label": "DAU", "value": "12.3K", "icon": "users", "trend": "+5%", "trend_dir": "up"},
      {"label": "Conversion Rate", "value": "3.8%", "icon": "target", "trend": "-0.2%", "trend_dir": "down"}
    ],
    "chart": {
      "chart_title": "Monthly Trend",
      "categories": ["Jan", "Feb", "Mar", "Apr"],
      "series": [{"name": "DAU", "values": [10200, 11500, 11800, 12300]}]
    },
    "breakdown": [
      {"label": "iOS", "value": 45},
      {"label": "Android", "value": 38},
      {"label": "Web", "value": 17}
    ],
    "flow": [
      {"step": 1, "title": "Sign Up", "description": ""},
      {"step": 2, "title": "Activate", "description": ""},
      {"step": 3, "title": "Retain", "description": ""}
    ]
  }
}

Output Format

The script outputs a JSON result to stdout:

json

{
  "status": "success",
  "output": "/absolute/path/to/infographic.html",
  "type": "stats",
  "title": "My Infographic",
  "palette": "auto",
  "size_bytes": 8432
}

On error:

json

{
  "status": "error",
  "errors": ["Missing required field: data"]
}

Design Highlights

Zero external dependencies: Pure Python standard library, no pip install needed
Self-contained output: HTML with all CSS and SVG inline, no network required
Responsive layout: Works on both desktop and mobile browsers
Professional palettes: 8 preset color schemes + automatic selection
24+ built-in icons: Common SVG icons, no font files needed
CJK-friendly: Font stack includes Noto Sans SC, PingFang SC, Microsoft YaHei

Use Cases

Visualization modules in data reports
Product data dashboards
Business process illustrations
Quarterly/monthly data comparisons
Team KPI displays

Dependencies

Python 3.7+ (standard library only)

Files

SKILL.md and 2 other files (scripts) in skills/data-viz-renderer of zebbern/claude-code-guide.

SKILL.md
LICENSE
scripts/build_infographic.py

Open the folder on GitHubat commit 4698e3b

Compare with similar skills

Data Viz Renderer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Viz Renderer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Data Viz Renderer this skillzebbern/claude-code-guide	4.6k	—	~1.3k	Automated safety check: Pass	MIT	today
Alt Text DesignOwl-Listener/inclusive-design-skills	103	—	~946	Automated safety check: Pass	MIT	3 mo ago
Visual Designaws-samples/sample-strands-agent-with-agentcore	194	—	~1.5k	Automated safety check: Pass	MIT	yesterday
Strategy Consulting Visualizationkgraph57/mckinsey-style-visualization-skill	127	—	~3.2k	Automated safety check: Pass	MIT	28 days ago
Tufte Reportglebis/claude-skills	388	—	~2.4k	Automated safety check: Pass	MIT	11 days ago
Microsim Generatordmccreary/ibook-skills	105	—	~11k	Automated safety check: Pass	None	2 days ago

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Questions about Data Viz Renderer

What does Data Viz Renderer do?

Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards. Data Viz Renderer is an agent skill from zebbern/claude-code-guide. Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards.

When should I use Data Viz Renderer?

Data Viz Renderer fits situations like: tasks that involve Infographics; tasks that involve Data visualization; tasks that involve Theming and dark mode.

How do I install Data Viz Renderer in Claude Code?

Run `npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a claude-code`. Or copy the skill folder (skills/data-viz-renderer in zebbern/claude-code-guide) into .claude/skills/data-viz-renderer in your project. Claude Code loads it when a task matches its description.

How do I install Data Viz Renderer in Codex?

Run `npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a codex`. Or copy the skill folder (skills/data-viz-renderer in zebbern/claude-code-guide) into .agents/skills/data-viz-renderer in your project. Codex loads it when a task matches its description.

Can I use Data Viz Renderer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zebbern/claude-code-guide --skill data-viz-renderer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-viz-renderer, .gemini/skills/data-viz-renderer, .github/skills/data-viz-renderer and .opencode/skills/data-viz-renderer in your project.

What does Data Viz Renderer need to run?

Going by SKILL.md and its folder, Data Viz Renderer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Data Viz Renderer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Viz Renderer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Data Viz Renderer use?

Data Viz Renderer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Viz Renderer use?

About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Viz Renderer?

Skills that share tags, products or a category with Data Viz Renderer: Alt Text Design (Owl-Listener/inclusive-design-skills, 103 stars), Visual Design (aws-samples/sample-strands-agent-with-agentcore, 194 stars), Strategy Consulting Visualization (kgraph57/mckinsey-style-visualization-skill, 127 stars) and Tufte Report (glebis/claude-skills, 388 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Viz Renderer?

zebbern (a GitHub user) maintains it in zebbern/claude-code-guide, which has 4,648 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 7, 2026.

Source: zebbern/claude-code-guide on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Data Viz Renderer

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Data Viz Renderer

Usage

Basic Usage

JSON Configuration Format

Color Palettes

Data Format by Type

1. stats — Stat Cards

2. comparison — Bar Chart Comparison

3. flow — Flow Diagram

4. dashboard — Mixed Dashboard

Output Format

Design Highlights

Use Cases

Dependencies

Files

Compare with similar skills

Similar skills

More from zebbern/claude-code-guide

Related

Questions about Data Viz Renderer