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Multica Platform Figma

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it235
multica-platform-figma

Figma 读：从文件 URL 拉取页面/画板/组件/样式元数据与设计摘要。平台 skill，供 Tester T1、Designer 下游消费。

Overview

Publisherit235
Repositorymultica-best-practices
Skill namemultica-platform-figma
Stars
199
Forks
29
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 2 bundled files

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

  • Open source

    Published by it235 on GitHub. Read the source before you install it.

Installation

Install the Multica Platform Figma 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/it235/multica-best-practices/tree/main/templates/zh_CN/skills/platform/multica-platform-figma
  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/it235/multica-best-practices.git /tmp/multica-best-practices
mkdir -p .claude/skills
cp -r /tmp/multica-best-practices/templates/zh_CN/skills/platform/multica-platform-figma .claude/skills/multica-platform-figma
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multica Platform Figma 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 Multica Platform Figma 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 Multica Platform Figma 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.

Platform · Figma

Platform 协作

本 skill 为 platform 层；供 multica-test-t1-design（fetch_all）、multica-design-ui-impl、前端 impl 等按名调用。凭据：FIGMA_TOKEN。

Purpose

Figma 读能力：从 Issue / 设计链接解析 file key，输出结构化 JSON + 可读文本摘要，供测试设计（UI 测试点）与前端实现引用。

跨平台：python scripts/fetch_file.py（Windows / macOS / Linux）。

Files

text
multica-platform-figma/
├── SKILL.md
├── .env.example
└── scripts/
    ├── fetch_file.py
    └── requirements.txt

Read

bash
pip install -r scripts/requirements.txt

python scripts/fetch_file.py --url "https://www.figma.com/design/<KEY>/..." \
  --output data/figma.json \
  --summary data/figma_summary.txt
参数作用
--urlFigma file / design / proto URL（必填）
--output / -o完整 JSON
--summary / -s文本摘要（Agent 可直接读）

凭据：FIGMA_TOKEN（Figma → Settings → Personal Access Tokens）。勿写入 Agent Instructions。

与产物 / 阶段 skill 的关系

调用方实际调用
multica-test-t1-designfetch_all.py 编排 → 本 skill fetch_file.py
multica-design-ui-implDesigner 产出链接；下游通过本 skill 或 Figma UI 读取

完整矩阵见 docs/platform-collaboration.md。

为什么有效

Figma REST 与凭据集中在 platform skill；T1 / Designer 只声明「读设计」，不重复 API 细节。

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 Multica Platform Figma AI skill do?

Figma 读：从文件 URL 拉取页面/画板/组件/样式元数据与设计摘要。平台 skill，供 Tester T1、Designer 下游消费。

Why use Multica Platform Figma on TypingMind?

Because you install it once and use it with any model. Multica Platform Figma 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 Multica Platform Figma in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/it235/multica-best-practices/tree/main/templates/zh_CN/skills/platform/multica-platform-figma. 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 Multica Platform Figma?

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 Multica Platform Figma?

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

Is the Multica Platform Figma AI skill free?

Yes. It is published on GitHub by it235 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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