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Design Stylecards

Community
yonatangross
design-stylecards

Declarative catalog of named aesthetic recipes — exact shadow stacks, glass surfaces, gradient treatments, and type scales as copy-paste values with Use-When and Avoid rules. Use when the user asks for polished elevation, glassmorphism, a border gradient, a mesh background, or any 'make it look like X' request where taste should come from a versioned recipe instead of being reinvented per session.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill namedesign-stylecards
Stars
298
Forks
35
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Design Stylecards 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/design-stylecards
  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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/design-stylecards .claude/skills/design-stylecards
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Stylecards 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 Design Stylecards 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 Design Stylecards 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.

Design Stylecards

Specs beat vibes. A stylecard is a named aesthetic recipe with exact values — the difference between "add a nice shadow" (reinvented differently every session) and elevation/md (identical every time, reviewed once, versioned forever).

bash
design-stylecards list                      # Catalog index
design-stylecards elevation/md              # Show one recipe
design-stylecards apply glass/dark to src/components/Panel.tsx

Why declarative recipes

Pipeline skills (design-to-code, design-context-extract) answer how to produce design output. Stylecards answer what good looks like — as literal values an agent pastes, not adjectives it interprets. Inspired by MengTo/Skills' stylecard micro-skills (MIT), consolidated into one catalog to avoid manifest sprawl.

Workflow

1. Resolve the request to a recipe

python
Read("references/stylecards.md")   # The catalog — always read before choosing
# Match the user's intent to ONE recipe by its Use-When line.
# No match → say so and offer the closest two; never freehand values.

2. Show or apply

  • Show: print the recipe verbatim — values, Use-When, Avoid. No paraphrasing values.
  • Apply: edit the target file using the recipe's exact values. Adapt only the syntax (Tailwind arbitrary class ↔ plain CSS ↔ CSS custom property), never the numbers.

3. Respect the recipe's Avoid block

Every recipe ends with falsifiable Avoid rules (e.g. "never stack two elevation recipes on one element"). Violating an Avoid rule to satisfy a user request requires saying so explicitly.

Catalog index

Full recipes with exact values: references/stylecards.md.

RecipeUse when
elevation/sm md lgLayered neutral shadows — compact controls / cards / hero surfaces
glass/darkFrosted glass panel on a dark backdrop
border/gradient1px gradient border without a wrapper hack
background/mesh2–3 hue radial mesh page background
type/editorialDisplay + body + mono role split with tracking values
motion/budgetThe four allowed durations + the one-signature-moment rule

Authoring a new stylecard

Add to references/stylecards.md following the contract — a recipe without all three parts is not shippable:

  1. Use when — one line, concrete surfaces ("cards, panels, popovers"), not adjectives.
  2. Values — copy-paste-ready code. Numbers, not descriptions.
  3. Avoid — falsifiable don'ts observed from real misuse.

Source recipes from shipped, reviewed UI (this repo's playground standard, production apps you've extracted with design-context-extract) — never from imagination.

Anti-Patterns

  • NEVER freehand shadow/gradient/blur values when a recipe exists — that defeats the catalog
  • NEVER paraphrase a recipe's values ("roughly 6% black") — paste them exactly
  • NEVER mix two recipes of the same category (two elevations, two glass treatments) on one element

Quality Bar

Done means all of these hold:

  • The chosen recipe's Use-When line actually matches the user's surface (quote both if challenged)
  • Applied values are byte-identical to the catalog entry — only syntax adapted, never numbers
  • No Avoid rule of the applied recipe is violated in the final diff
  • New recipes carry all three contract parts: Use-When, exact values, Avoid

Related Skills

  • ork:design-context-extract — mines new recipe candidates from real apps
  • ork:design-system-tokens — where recipes graduate into project token architecture
  • ork:design-to-code — pipeline that consumes stylecards during generation

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 Design Stylecards AI skill do?

Declarative catalog of named aesthetic recipes — exact shadow stacks, glass surfaces, gradient treatments, and type scales as copy-paste values with Use-When and Avoid rules. Use when the user asks for polished elevation, glassmorphism, a border gradient, a mesh background, or any 'make it look like X' request where taste should come from a versioned recipe instead of being reinvented per session.

Why use Design Stylecards on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/design-stylecards. 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 Design Stylecards?

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 Design Stylecards?

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

Is the Design Stylecards AI skill free?

Yes. It is published on GitHub by yonatangross 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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