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Chart Visualization

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ljxpython
chart-visualization

This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

Overview

Publisherljxpython
Repositoryai-agent-platform
Skill namechart-visualization
Stars
148
Forks
26
Bundled files
28
Links
Skill sourceRepository
  • 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.

  • 28 bundled files

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

  • Open source

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

Installation

Install the Chart Visualization 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/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/chart-visualization
  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/ljxpython/ai-agent-platform.git /tmp/ai-agent-platform
mkdir -p .claude/skills
cp -r /tmp/ai-agent-platform/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/chart-visualization .claude/skills/chart-visualization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chart Visualization 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 Chart Visualization 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 Chart Visualization 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.

Chart Visualization Skill

This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.

Workflow

To visualize data, follow these steps:

1. Intelligent Chart Selection

Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):

  • Time Series: Use generate_line_chart (trends) or generate_area_chart (accumulated trends). Use generate_dual_axes_chart for two different scales.
  • Comparisons: Use generate_bar_chart (categorical) or generate_column_chart. Use generate_histogram_chart for frequency distributions.
  • Part-to-Whole: Use generate_pie_chart or generate_treemap_chart (hierarchical).
  • Relationships & Flow: Use generate_scatter_chart (correlation), generate_sankey_chart (flow), or generate_venn_chart (overlap).
  • Maps: Use generate_district_map (regions), generate_pin_map (points), or generate_path_map (routes).
  • Hierarchies & Trees: Use generate_organization_chart or generate_mind_map.
  • Specialized:
    • generate_radar_chart: Multi-dimensional comparison.
    • generate_funnel_chart: Process stages.
    • generate_liquid_chart: Percentage/Progress.
    • generate_word_cloud_chart: Text frequency.
    • generate_boxplot_chart or generate_violin_chart: Statistical distribution.
    • generate_network_graph: Complex node-edge relationships.
    • generate_fishbone_diagram: Cause-effect analysis.
    • generate_flow_diagram: Process flow.
    • generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.

2. Parameter Extraction

Once a chart type is selected, read the corresponding file in the references/ directory (e.g., references/generate_line_chart.md) to identify the required and optional fields. Extract the data from the user's input and map it to the expected args format.

3. Chart Generation

Reading /skills/chart-visualization/references/<tool_name>.md makes that matching generate_* tool available on the next model call. Re-read its reference if history compaction removes it. Call the tool with the parameters described in its reference. Do not execute scripts/generate.js: it is preserved as upstream reference, and the sandbox has no network. The tool schema is authoritative where upstream references differ. Raw data is sent to the external AntV service; wait for the official approval before sending it. Never route around rejection through execute or another tool.

4. Result Return

Return the saved /workspace/charts/ image reference and the exact input specification. A remote URL alone is not a delivered image. Report service errors and missing map prerequisites honestly; never fabricate a chart. All 26 upstream chart types, including spreadsheet, are available on demand. Do not claim all external types were verified merely because one chart worked.

Reference Material

Detailed specifications for each chart type are located in the references/ directory. Consult these files to ensure the args passed to the script match the expected schema.

License

This SKILL.md is provided by antvis/chart-visualization-skills. Licensed under the MIT License.

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 Chart Visualization AI skill do?

This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

Why use Chart Visualization on TypingMind?

Because you install it once and use it with any model. Chart Visualization 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 Chart Visualization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ljxpython/ai-agent-platform/tree/main/apps/runtime-service/src/runtime_service/services/dearflow_agent/skills/chart-visualization. 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 Chart Visualization?

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 Chart Visualization?

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

Is the Chart Visualization AI skill free?

It is published on GitHub by ljxpython. Check the repository for licensing terms. 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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