Multica Design Ui Impl logo

Multica Design Ui Impl

Community
it235
multica-design-ui-impl

把 UI / 交互设计产物对接到设计协作平台(默认 Figma)。用于 @Designer 上传视觉稿、取回链接与标注,供前端下游消费。平台可替换。

Overview

Publisherit235
Repositorymultica-best-practices
Skill namemultica-design-ui-impl
Stars
199
Forks
29
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 it235 on GitHub. Read the source before you install it.

Installation

Install the Multica Design Ui Impl 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/designer/multica-design-ui-impl
  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/designer/multica-design-ui-impl .claude/skills/multica-design-ui-impl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multica Design Ui Impl 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 Design Ui Impl 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 Design Ui Impl 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.

Artifact · UI Design Sync

Purpose

把 UI 设计产物落地到团队统一的设计协作平台,并让下游(前端)用稳定方式取回。

本 skill 把「平台对接」与「角色提示词」解耦:角色提示词只说"产出 UI 设计",不关心平台。换公司(用 Zeplin / 蓝湖 / MasterGo 等)只改本 skill,不动 @Designer 提示词。

默认平台:Figma

  • 产出:Figma 文件链接 + 标注(颜色 / 间距 / 字号 / 组件)+ 切图 / 导出。
  • 上传:在 Figma 内完成设计后,把文件链接与关键 Frame 链接作为产物引用。
  • 取回:下游 @FrontendDev 通过链接读取,链接即稳定引用,不依赖本地文件。

产物内容规范(与角色解耦的部分)

无论平台是什么,UI 产物至少包含:

  • 页面 / 模块结构(与 PRD 信息架构对齐)
  • 状态:空态、加载态、异常态、无权限态
  • 交互:入口、跳转、校验反馈
  • 标注:尺寸、间距、色值、字体、组件边界

用法(角色侧只写这一句)

@Designer:「产出 UI 设计,用 multica-design-ui-impl skill 落地到团队设计平台,并把链接回传给 Leader。」

替换平台(不改角色提示词)

把本 skill 的「默认平台」段替换为你们的工具(蓝湖 / Zeplin / MasterGo / 内部设计库),保持「上传 + 回传稳定链接」接口不变即可。

为什么有效

平台在团队间差异极大,把平台名写进角色提示词会固化它;下沉到 skill 后,角色保持「产出什么内容」的稳定描述,平台随 skill 替换。

Frequently asked questions

What does the Multica Design Ui Impl AI skill do?

把 UI / 交互设计产物对接到设计协作平台(默认 Figma)。用于 @Designer 上传视觉稿、取回链接与标注,供前端下游消费。平台可替换。

Why use Multica Design Ui Impl on TypingMind?

Because you install it once and use it with any model. Multica Design Ui Impl 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 Design Ui Impl 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/designer/multica-design-ui-impl. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Multica Design Ui Impl?

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 Design Ui Impl?

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

Is the Multica Design Ui Impl 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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