Visualization Builder

Community

nimrodfisher

visualization-builder

Create effective, publication-ready data visualizations. Use when choosing chart types, designing presentation visuals, building dashboard charts, or applying visual design best practices to data output.

Overview

Publisher	nimrodfisher
Repository	`data-analytics-skills`
Skill name	`visualization-builder`
Stars	493
Forks	87
Bundled files	4
License	MIT
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by nimrodfisher on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nimrodfisher/data-analytics-skills/tree/main/04-data-storytelling-visualization/visualization-builder
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/nimrodfisher/data-analytics-skills/tree/main/04-data-storytelling-visualization/visualization-builder

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/nimrodfisher/data-analytics-skills.git /tmp/data-analytics-skills
mkdir -p .claude/skills
cp -r /tmp/data-analytics-skills/04-data-storytelling-visualization/visualization-builder .claude/skills/visualization-builder

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visualization Builder 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 Visualization Builder 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 Visualization Builder 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.

Visualization Builder

When to use

Choosing the right chart type for a specific analytical message
A chart exists but is cluttered, misleading, or failing to make the point
Building a chart for an executive presentation that must work without verbal explanation
Producing consistent, branded visualisations across a report or dashboard
Creating accessible charts that work for colorblind viewers or screen readers

Process

Identify the message type — classify the chart's purpose: comparison (bar), trend over time (line), composition / part-of-whole (stacked bar, pie only for 2–3 categories), distribution (histogram, box plot), or relationship (scatter). The message type determines the chart type. See references/chart_selection_guide.md.
Select and load the data — confirm the data is at the right grain for the chart. Aggregations (e.g., groupby month) should happen before plotting, not inside the chart library.
Build the base chart — use scripts/chart_builder.py with pre-set professional styling (whitegrid, sans-serif, accessible color palette). Set axes, ticks, and scale deliberately — default settings are often wrong.
Apply visual hierarchy — make the most important data element visually dominant (bolder line, darker bar, distinct color). De-emphasise secondary series. Remove every element that doesn't contribute to the message (gridlines at 0.2 alpha, no top/right spines). See references/visual_design_principles.md.
Annotate for the reader — add a descriptive title that states the finding ("Mobile churn is 2× desktop"), not the variable names ("Churn by device type"). Annotate key data points, thresholds, and reference lines directly on the chart. Add a data source and date.
Export and validate — export at 300 DPI for print or 150 DPI for web. View the chart at the intended display size. Check: is the key message legible in under 5 seconds? Does it work in greyscale? Complete assets/viz_spec_template.md if the chart is part of a larger deliverable.

Inputs the skill needs

The data to be visualised (at the correct aggregation grain)
The single key message the chart must communicate
The audience (technical or executive) and the display context (presentation slide, report, dashboard, email)
Brand colors or style guidelines if applicable
Any accessibility requirements (colorblind palette, alt text)

Output

scripts/chart_builder.py — creates professional matplotlib/seaborn charts with pre-set styling, annotation helpers, and export settings
references/chart_selection_guide.md — which chart type for which message; common chart mistakes and how to fix them
references/visual_design_principles.md — color, typography, hierarchy, annotation, and accessibility principles
assets/viz_spec_template.md — spec template for a chart: message, data source, chart type, annotations, export requirements

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 Visualization Builder AI skill do?

Why use Visualization Builder on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nimrodfisher/data-analytics-skills/tree/main/04-data-storytelling-visualization/visualization-builder. 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 Visualization Builder?

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 Visualization Builder?

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

Is the Visualization Builder AI skill free?

Yes. It is published on GitHub by nimrodfisher 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Visualization Builder

When to use

Process

Inputs the skill needs

Output

Bundled files

Frequently asked questions

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