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Opendesigner Export

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ckryptickunal
opendesigner-export

Exports an OpenDesigner system to CSS variables, Tailwind, DTCG, Swift, Compose, Figma and Paper, and writes it into Figma or Paper through their MCP servers when connected.

Overview

Publisherckryptickunal
RepositoryOpenDesigner
Skill nameopendesigner-export
Stars
11
Forks
2
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 ckryptickunal on GitHub. Read the source before you install it.

Installation

Install the Opendesigner Export 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/ckryptickunal/OpenDesigner/tree/main/.agents/skills/opendesigner-export
  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/ckryptickunal/OpenDesigner.git /tmp/OpenDesigner
mkdir -p .claude/skills
cp -r /tmp/OpenDesigner/.agents/skills/opendesigner-export .claude/skills/opendesigner-export
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Opendesigner Export 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 Opendesigner Export 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 Opendesigner Export 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.

OpenDesigner: export and round trip

Use this when the person wants their system in code, in Figma or in Paper. It works after an OpenDesigner interview or on any existing opendesigner/ folder.

The DTCG files in opendesigner/tokens/ are the source of truth. Every other format is generated from them. Never edit an export by hand: change the decision and regenerate.

The engine is scripts/engine.py in this skill when it was installed from a release zip. Otherwise it is the sibling opendesigner skill's scripts/engine.py. Run it from the project root.

1. Code exports (always available)

python3 <engine> build                      generate, validate, then every export, DESIGN.md and the preview
python3 <engine> export --format tailwind   one format only: css tailwind dtcg figma paper swift compose, or all
FormatOutput in opendesigner/Use it
(canonical)tokens/ (DTCG sets plus opendesigner.resolver.json for modes)Style Dictionary, Terrazzo, Tokens Studio, Penpot
dtcgbuild/dtcg/<name>.resolver.jsonA single resolver file for tools that take one entry point
cssbuild/css/tokens.css (custom properties, light and dark)Import once at the app root
tailwindbuild/tailwind/theme.css (Tailwind v4 @theme; it imports ../css/tokens.css itself)One line after Tailwind in the main CSS file (below)
swiftbuild/swift/DesignTokens.swift (Dynamic Type text styles; body 17 pt)Add to the iOS target
composebuild/compose/DesignTokens.ktAdd to the Android UI module
figmabuild/figma/variables.json and build/figma/import/<Collection>.<Mode>.tokens.jsonImport in Figma (below) when there is no MCP
paperbuild/paper/tokens.json, build/paper/tokens.light.css, tokens.dark.cssPaper tokens (below)

Tailwind v4 wiring. In the main CSS file, for example src/index.css:

css
@import "tailwindcss";
@import "../opendesigner/build/tailwind/theme.css";
  • Adjust the relative path to where the CSS file sits. theme.css brings in tokens.css, so light and dark, density and reduced motion work through CSS variables.
  • Utility classes follow the token roles, for example bg-action-primary, text-fg-primary, rounded-control and h-control-md. DESIGN.md lists the class for each role.
  • By default the export switches off Tailwind's own palette, radius, shadow and text sizes, so a stray bg-blue-600 or rounded-lg doesn't compile. To keep them, run engine.py set exports.tailwindReset false, then engine.py build.

Fonts per platform. If raw.fontLicence says the brand font's licence doesn't cover apps, the Swift and Compose files use the system font instead, and say so. Tell the person in one line before they ship an app build.

Ask before wiring an export into the person's code, such as their main CSS file, Tailwind config or build. For an engineer, name the exact files and lines, as above. Offer to append <opendesigner>/assets/output/AGENTS-snippet.md to their AGENTS.md, so later agents use the tokens.

2. Figma

Detect what is connected before promising anything:

  • Remote Figma MCP with use_figma (signed in, Full seat; canvas writes are in beta): it can create variables, styles and frames. If Figma's official skills are installed (figma-use, figma-generate-library), load them and follow their rules. They know the current API.
  • Figma desktop MCP only (get_variable_defs, get_design_context, get_screenshot): read-only. Use it to check, not to write.
  • Nothing connected: hand over build/figma/import/ (one DTCG file per collection and mode) for Figma's variables import, or build/figma/variables.json for Tokens Studio. Say that Figma imports DTCG only in part: one mode per file, sRGB, px, and no composite tokens.

Write flow with use_figma:

  1. Confirm the target file with the person and suggest working on a duplicate first.

  2. Create the five collections in build/figma/variables.json, in its order:

    • Primitives: ramps and raw sizes, no modes, hidden from publishing.
    • Color: color roles aliased to primitives, one mode per color scheme (Light and Dark).
    • Density: spacing and control sizes, one mode per density (spacious, comfortable, compact).
    • Motion: durations and easings, with Standard and Reduced modes.
    • Tokens: everything that does not change by mode (radius, weights, font families and the like).

    The Figma plan caps the modes per collection (exports.figmaPlan, set by Q-tool-03). The engine splits a collection that goes over the cap and warns. Check the plan before adding more themes.

  3. Create variables with explicit scopes (never "all scopes"), and set code syntax to the CSS variable name so developers see var(--...).

  4. Add text styles for the type scale and effect styles for the elevation levels.

  5. Build one specimen frame per foundation (palette, type, spacing, radius, elevation) and a component sheet, bound to the variables.

  6. Read back with get_variable_defs and compare against tokens/; report any mismatch.

  7. When the person or a designer edits in Figma, read the changes back. Apply them as decisions (engine.py set ... --why "changed in Figma by <name>"), never by editing token files.

3. Paper

Paper's MCP server runs inside Paper Desktop (local, 127.0.0.1:29979/mcp). If its tools are present:

  1. Load Paper's guide first (get_guide with topic paper-mcp-instructions). Then call get_basic_info to see the file.
  2. Write tokens from build/paper/tokens.json with create_tokens or set_tokens. Paper tokens are CSS variables without modes. Write the light values, and add the dark ones as a separate, clearly named set.
  3. Call get_font_family_info before any typography. Then write specimen artboards with write_html, one visual group per call: palette, type ladder, spacing ruler, radius, elevation, component sheet. The HTML in <opendesigner>/assets/templates/ (component sheet, palette) is a good start. Use the person's tokens, not sample data.
  4. Review each artboard with get_screenshot. Fix clipping by setting the artboard height to fit its content.
  5. Call finish_working_on_nodes when done.
  6. Designer comments (list_comment_threads) and selections (get_selection) come back as decisions through the engine, like Figma edits.

4. Before you hand over

  • Explain each export in one plain sentence, then give the path. For example: "This file gives your web app the colors as CSS variables."
  • engine.py validate passes, or each remaining warning has a written waiver.
  • The person knows the source of truth is the DTCG files in opendesigner/tokens/, and that exports are regenerated, not edited.
  • Record the export in the summary: formats, destinations (file names, Figma file, Paper file) and date.
  • If an export was missing, wrong or confusing, record it with engine.py feedback "..." --kind gap|bug|confusing|idea (see references/improve.md in the opendesigner skill). Nothing is posted without the person's OK.

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 Opendesigner Export AI skill do?

Exports an OpenDesigner system to CSS variables, Tailwind, DTCG, Swift, Compose, Figma and Paper, and writes it into Figma or Paper through their MCP servers when connected.

Why use Opendesigner Export on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ckryptickunal/OpenDesigner/tree/main/.agents/skills/opendesigner-export. 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 Opendesigner Export?

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 Opendesigner Export?

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

Is the Opendesigner Export AI skill free?

Yes. It is published on GitHub by ckryptickunal 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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