Reimagine It Infographic

Community

Kayforkind

reimagine-it-infographic

Content-derived infographic poster — reads the source file and builds a statistical poster from the facts already in it. Not a dashboard, not a CV, not an AntV template. Uses common-scale encodings (Cleveland–McGill floor), ISOTYPE unit counts (Neurath), custom data glyphs (Lupi/Fragapane), and a lossless data table. Palette, glyphs, and composition are derived from the source's own content. No pies, donuts, gauges, 3D charts, or fabricated KPIs. Part of the reimagine-it Content-Derived Design suite.

Overview

Publisher	Kayforkind
Repository	`reimagine-it`
Skill name	`reimagine-it-infographic`
Stars	211
Forks	31
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Kayforkind on GitHub. Read the source before you install it.

Installation

Install the Reimagine It Infographic 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/Kayforkind/reimagine-it/tree/main/skills/reimagine-it/infographic
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.

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/Kayforkind/reimagine-it.git /tmp/reimagine-it
mkdir -p .claude/skills
cp -r /tmp/reimagine-it/skills/reimagine-it/infographic .claude/skills/reimagine-it-infographic

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

Use it in TypingMind

Enable Reimagine It Infographic 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 Reimagine It Infographic 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 Reimagine It Infographic 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.

/reimagine-it infographic

Parent: ../SKILL.md — the full Content-Derived Design engine. Research pack: ../references/research/infographic-craft.md — 15-source infographic method (Cleveland–McGill, Tufte, Bertin, ISOTYPE, Minard/Snow, Cairo, Lupi, FT Visual Vocabulary, USWDS, WCAG charts, InfoAlign layouts). Domain pack: ../references/domains/infographic.md — the infographic domain non-negotiables.

Builds a statistical poster of facts already in the source — not an ops dashboard, not a CV, not an AntV template clone.

Hard non-negotiables

Cleveland–McGill perceptual ranking. Position along a common scale > length > angle > area > volume > color saturation. Encode the most important comparisons as positions, not pies.
ISOTYPE unit counts when the data is discrete countable things (Neurath: one pictogram = N units, repeated, not scaled).
Custom glyphs from the source. Lupi/Fragapane pattern — draw a visual alphabet from the data itself (leaves, braids, snakes, whatever the content demands), not generic bar/pie/donut.
Lossless data table. Every chart has a companion table; the infographic is a supplement to the data, not a replacement.
No pies, donuts, gauges, or 3D charts. Pie charts rank last in Cleveland–McGill; donuts are pies with the center punched out (worse); 3D distorts perception.
No fabricated KPIs. Every number on the poster comes from the source, not extrapolated or invented.

Structure router

Before drawing, sniff the source and lock a structure:

Structure	When	InfoAlign scenery
`list`	Unordered peers	grid, star
`sequence`	Steps / dated beats	portrait, landscape
`hierarchy`	Tree / nesting	portrait
`compare`	Two+ groups	portrait-grid
`values`	Magnitudes	portrait-grid
`relation`	Nodes + edges the source names	spiral

Do not default to gold Texas (sequence+compare on portrait-grid). Derive from THIS source.

Procedure

Load ../references/research/infographic-craft.md and ../references/domains/infographic.md.
Extract anchors from the source (3–5 concrete nouns, dates, numbers).
Route the structure (list/sequence/hierarchy/compare/values/relation).
Pick InfoAlign scenery (grid/star/portrait/landscape/portrait-grid/spiral).
Derive palette from source content (≤ 5 colors).
Build a custom visual alphabet from one datapoint.
Encode comparisons using common-scale positions (not pies).
Include a lossless data table below the poster.
Verify: every number traceable to source, no fabricated KPIs, no AntV template chrome.

Must not

Clone gold Texas infographic's scenery or poster chrome onto a different source
Use a pie chart, donut, gauge, or 3D chart
Invent statistics the source does not contain
Use AntV/Looker/Datawrapper templates
Skip the structure router and default to portrait-grid
Ship without a lossless data table

Frequently asked questions

What does the Reimagine It Infographic AI skill do?

Why use Reimagine It Infographic on TypingMind?

Because you install it once and use it with any model. Reimagine It Infographic 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 Reimagine It Infographic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Kayforkind/reimagine-it/tree/main/skills/reimagine-it/infographic. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reimagine It Infographic?

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 Reimagine It Infographic?

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

Is the Reimagine It Infographic AI skill free?

Yes. It is published on GitHub by Kayforkind 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

/reimagine-it infographic

Hard non-negotiables

Structure router

Procedure

Must not

Frequently asked questions

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