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Gdd Bootstrap Ds

Community
hegemonart
gdd-bootstrap-ds

Bootstraps a design system for a GREENFIELD project that has none - no Figma, no tokens, no component library. Takes a brand input (primary color + optional secondary + tone tags + target framework) and emits a coherent OKLCH token system (color tints, modular type scale, 4pt/8pt spacing, radius + motion defaults) in 3 variants to pick from, then scaffolds proof components (button/input/card). Use at the start of a brand-new project, or when {{command_prefix}}explore finds no existing design system. Never invents a brand; never overwrites an existing DS.

Overview

Publisherhegemonart
Repositoryget-design-done
Skill namegdd-bootstrap-ds
Stars
3
Forks
1
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Gdd Bootstrap Ds 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/hegemonart/get-design-done/tree/main/scripts/skill-templates/bootstrap-ds
  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/hegemonart/get-design-done.git /tmp/get-design-done
mkdir -p .claude/skills
cp -r /tmp/get-design-done/scripts/skill-templates/bootstrap-ds .claude/skills/gdd-bootstrap-ds
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gdd Bootstrap Ds 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 Gdd Bootstrap Ds 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 Gdd Bootstrap Ds 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.

{{command_prefix}}bootstrap-ds

Greenfield design-system bootstrap. Closes the gap that GDD's design-context-builder assumes a design system already exists (in code or Figma) - a brand-new project has none. This skill is the front door: it collects a brand input and hands it to agents/ds-generator.md, which emits the token system + proof components per reference/ds-bootstrap-rubric.md (deterministic math in scripts/lib/ds/token-scale.cjs).

When to use

  • At the start of a brand-new project (no tailwind.config, no token file, no DS).
  • When {{command_prefix}}discover / design-context-builder reports no existing design system and the user opts to bootstrap one.

If a design system already exists, do NOT run this - defer to design-context-builder (it maps the existing one). State that and stop.

Steps

  1. Collect the brand input. From flags, or via AskUserQuestion for anything missing:
    • primary (required) - the brand color (hex / rgb / oklch()).
    • secondary (optional) - a second brand color (emitted only if supplied - the rubric's ≤2-brand-colors rule).
    • tone tags (optional) - calm / corporate / editorial / playful / bold (maps to the type ratio + chroma treatment).
    • target framework (optional) - web (default) / native-ios / native-android / flutter. Detect from the project if absent (Phase 34 routing).
  2. Delegate to ds-generator (via Task): it resolves the primary to OKLCH, runs token-scale.cjs for 3 variants (conservative / balanced / bold), and presents them.
  3. Pick a variant. Surface the 3 variants (primary 500, type ratio, spacing baseline, radius, feel); the user picks ONE.
  4. Emit + scaffold (proposal → confirm). ds-generator emits the chosen token set (role-named CSS custom properties + the framework mapping) and scaffolds button / input / card as a coherence proof. Nothing is written to src/ without confirmation.

Do Not

  • Do not invent a brand (no logomark, no typeface choice, no third brand color) - emit a token system, not an identity.
  • Do not overwrite an existing design system - defer to design-context-builder.
  • Do not add a color-conversion dependency - token-scale.cjs emits native CSS oklch().

Output

End with:

## BOOTSTRAP-DS COMPLETE

Frequently asked questions

What does the Gdd Bootstrap Ds AI skill do?

Bootstraps a design system for a GREENFIELD project that has none - no Figma, no tokens, no component library. Takes a brand input (primary color + optional secondary + tone tags + target framework) and emits a coherent OKLCH token system (color tints, modular type scale, 4pt/8pt spacing, radius + motion defaults) in 3 variants to pick from, then scaffolds proof components (button/input/card). Use at the start of a brand-new project, or when {{command_prefix}}explore finds no existing design system. Never invents a brand; never overwrites an existing DS.

Why use Gdd Bootstrap Ds on TypingMind?

Because you install it once and use it with any model. Gdd Bootstrap Ds 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 Gdd Bootstrap Ds in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hegemonart/get-design-done/tree/main/scripts/skill-templates/bootstrap-ds. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gdd Bootstrap Ds?

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 Gdd Bootstrap Ds?

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

Is the Gdd Bootstrap Ds AI skill free?

Yes. It is published on GitHub by hegemonart 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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