# Design Token Bridge

> Use this tool when you need to translate design tokens between different design systems, such as Tailwind CSS, Figma, or Material Design 3, to ensure cross-platform design consistency. It solves problems of inconsistent design elements across multiple platforms by providing bidirectional conversion between various design token formats. It takes design tokens as input and outputs the equivalent tokens in the desired format, making it ideal for use cases where design consistency is crucial.

Canonical page: https://skillsregistry.net/skills/kenneives-design-token-bridge  
JSON: https://api.skillsregistry.net/v1/skills/kenneives-design-token-bridge

## Description

Translates design tokens between multiple design systems including Tailwind CSS, Figma variables, CSS custom properties, Material Design 3, and SwiftUI. Provides bidirectional conversion between different design token formats for cross-platform design consistency.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kenneives-design-token-bridge)
- **Repository:** <https://github.com/kenneives/design-token-bridge-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kenneives-design-token-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenneives-design-token-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenneives-design-token-bridge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt