# TalkToFigma

> TalkToFigma — takeaki0817-figma-local-bridge. Use this tool when you need to integrate AI-driven design generation and editing into your local workflow, enabling seamless communication between AI agents and Figma designs without rate limits or external dependencies. It solves problems related to automated design creation, editing, and iteration, providing a local WebSocket relay for secure and efficient data exchange. Ideal for use cases requiring rapid design prototyping, automation, and customization, with inputs including design parameters and outputs being edited Figma designs.

Canonical page: https://skillsregistry.net/skills/takeaki0817-figma-local-bridge  
JSON: https://api.skillsregistry.net/v1/skills/takeaki0817-figma-local-bridge

## Description

Enables local AI agents to generate and edit Figma designs via the Plugin API through a WebSocket relay, with no rate limits and all communication remaining local.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/omp01kbl7p)
- **Repository:** <https://github.com/Takeaki0817/figma-local-bridge>

## 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": "takeaki0817-figma-local-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/takeaki0817-figma-local-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/takeaki0817-figma-local-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
