Dithercn logo

Dithercn

Organization
opencoredev
dithercn

Build any dithered visual with the dithercn engine (dither-core, in lib/dither) in a React or shadcn app. Use when the user wants a dither, a dithered or Bayer or halftone or pixel texture, or a dithered background, hero, chart, meter, card, loader, text or image for a landing page or dashboard, or when code imports lib/dither or components/dithercn.

Overview

Publisheropencoredev
Repositorydithercn
Skill namedithercn
Stars
114
Forks
5
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Dithercn 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/opencoredev/dithercn/tree/main/skills/dithercn
  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/opencoredev/dithercn.git /tmp/dithercn
mkdir -p .claude/skills
cp -r /tmp/dithercn/skills/dithercn .claude/skills/dithercn
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dithercn 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 Dithercn 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 Dithercn 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.

dithercn

dithercn is a dither engine. dither-core (installed into lib/dither) turns a tone you compute into ordered dither dots, in your theme's colours, with motion, resizing and reduced motion handled. You build the dither the user asked for on top of it. The dithercn components are examples of what the engine can do, not a menu to pick from. Install one only when it is exactly what the user asked for. Otherwise write your own, and borrow technique from the closest example's source.

1. Set up the engine

Find the engine: lib/dither/index.ts, under the lib alias in components.json (imports below use @/lib/dither; use the project's alias). If it is missing, install it from the dithercn registry:

bash
npx shadcn@latest add {{REGISTRY_URL}}/dither-core.json

If it exists, check that it is current: grep -q colorField lib/dither/shader.tsx (with the project's path). An engine installed before colorField existed lacks it and the spectrum and paletteColor helpers, and TypeScript reports Property 'colorField' does not exist. Replace the engine's files; this keeps the project's lib/utils.ts (yes n answers no to every question about overwriting a file) and restores lib/dither/export.ts:

bash
rm -rf lib/dither && yes n | npx shadcn@latest add {{REGISTRY_URL}}/dither-core.json {{REGISTRY_URL}}/dither-export.json

Don't use --overwrite: it also replaces lib/utils.ts. If the project edited files inside lib/dither, tell the user before replacing them.

That also installs dither-tokens: the CSS variables --dither-ink, --dither-paper, --dither-cell, --dither-bloom and --dither-color-<name>, written into the project's global CSS and mapped to the shadcn --primary and --background. The engine needs React 19 and Tailwind CSS v4.

Done when lib/dither/index.ts exists, lib/dither/shader.tsx mentions colorField, and the global CSS defines --dither-ink.

2. Pick the technique

The user wantsUseRead
A surface whose tone varies per pixel or moves: gradients, glows, noise, contours, waves, rings, any shape you can describe with mathDitherShader with a GLSL fieldfields.md
A static fill inside SVG shapes: bars, arcs, gauges, meters, rings, icons, mapsFillPattern or DitherPattern in <defs>, fill="url(#id)"engine-api.md
A static fill on a DOM element: a block, band, border, progress bar, skeletonfillStyle(variant) or ditherMaskStyle(level) on an empty layerengine-api.md
Many hues at once: a rainbow, a spectrum, RGB, a different colour per line or shapeDitherShader with a field for the shape and a colorField for the colourfields.md
A photo or logo, ditheredditherImage on canvas pixelsengine-api.md
A PNG, SVG or CSS file, or a background with no JavaScriptdither-exportengine-api.md

Combine them freely: a dashboard card can hold an SVG meter with FillPattern over a DitherShader glow.

The examples in examples.md (written when the skill is installed; if it's missing, read {{SITE_URL}}/.well-known/agent-skills/dithercn/references/examples.md) are references. If the user asked for exactly one of them, install it. If not, write your own: read the closest example's source for its field or SVG, then build the design the user described. Never swap the request for an example that is merely nearby, and never guess at an example's props; read its docs page or source.

Done when every visual in the request has a technique.

3. Build it

If the dither is for a landing page, or a section of one, read landing-pages.md before anything else. A good dither on a generic page still looks generated: the page has to be about the product, and the dither has to come from it.

  1. Read the reference named for your technique, and recipes.md for complete, working components to adapt.
  2. Write the component in its own file. "use client" when it uses DitherShader, hooks or a canvas; FillPattern, DitherPattern, fillStyle and ditherMaskStyle render on the server.
  3. Give it typed props for what the user would tweak (colour, intensity, speed, scale, value), with defaults that already look good.
  4. Place it with placement.md: a shader fills a positioned parent (absolute inset-0), and content sits in a sibling above it.
  5. Colour it with theme.md: palette names such as "ink" and "blue", or CSS variables, so it follows light and dark.

Done when the component renders the requested look with no [dither-core] errors in the console.

4. Check it in a browser

Open the page and look at it. Screenshot it if you can, at desktop and phone widths, in light and dark mode, and once with reduced motion (prefers-reduced-motion: reduce). Hold it to quality.md.

Done when every check in quality.md passes. A screenshot that shows flat colour, a solid block or an empty box means the field returns the wrong range or the parent has no size: fix it and look again.

Rules for every dither

  • A field returns a continuous tone in [0, 1]: 0 paper, 1 ink. The engine quantises and dithers it, so write smooth math (smoothstep, exp, mix) and leave thresholds and Bayer matrices to the engine.
  • uv runs 0 to 1 on both axes with y up. Multiply x by res.x / res.y before measuring distances, or circles stretch into ovals.
  • Paint with theme colours ("ink", palette names, --css-variables). Literal colours, and spectrum() in a colorField, are for when the user asks for specific colours or a rainbow.
  • Text sits on clear ground. Fade the tone down where text goes: to 0 for lines and sparse patterns, to 0.2 or less for soft fills. Text contrast stays at 4.5:1 or better.
  • Motion is slow, a drift of a few percent of the box per second. Choose stillTime so the reduced-motion frame looks finished.

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 Dithercn AI skill do?

Build any dithered visual with the dithercn engine (dither-core, in lib/dither) in a React or shadcn app. Use when the user wants a dither, a dithered or Bayer or halftone or pixel texture, or a dithered background, hero, chart, meter, card, loader, text or image for a landing page or dashboard, or when code imports lib/dither or components/dithercn.

Why use Dithercn on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/opencoredev/dithercn/tree/main/skills/dithercn. 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 Dithercn?

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 Dithercn?

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

Is the Dithercn AI skill free?

Yes. It is published on GitHub by opencoredev 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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