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Multica Frontend Impl

Community
it235
multica-frontend-impl

前端实现：读 JIRA/Confluence/架构/UI/API，注重交互与体验完成界面开发。用于 @FrontendDev 组件实现、状态与对接验证。

Overview

Publisherit235
Repositorymultica-best-practices
Skill namemultica-frontend-impl
Stars
199
Forks
29
Bundled files
Instructions only
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.

  • 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 Frontend 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/frontend/multica-frontend-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/frontend/multica-frontend-impl .claude/skills/multica-frontend-impl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multica Frontend 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 Frontend 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 Frontend 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.

Frontend Implementation

Purpose

在已确认的设计与 Issue 范围内，把 UI / 交互 / 体验 落地为可用界面，并正确对接 API。

与 multica-artifact-frontend 分工：frontend-impl 管怎么读上游、怎么写组件与体验；artifact-frontend 管实现说明文档规范与 Confluence 落地。

Platform 协作

Platform skill本 skill 用途
multica-platform-jira读 Issue / AC
multica-platform-confluence读 PRD / 设计 / API 契约
multica-platform-figma读 UI 设计（Issue / Designer 链接）

发布 impl-spec 走 multica-artifact-frontend；本 skill 不重复 REST 细节。

开工前：读上游（必做）

顺序来源方式
1Issue / 验收标准multica-platform-jira → jira_cli.py get-issue <KEY>
2PRDJIRA → Confluence fetch_page.py
3架构设计Leader 派活或 JIRA 设计链接 → fetch_page.py
4UI 设计@Designer multica-design-ui-impl 链接
5API 契约@BackendDev multica-artifact-backend Confluence 链接
6现有前端代码局部阅读 / codegraph

契约或 UI 缺失 → mock 先行并记录 Mock 策略；接口语义不明 → BLOCKED，不发明 API。

体验优先流程（核心）

text
1. 读 AC- / UI / 架构「实现步骤（前端）」→ 列出页面与状态机
2. 写/更新 impl-spec.md（交 multica-artifact-frontend 发布，可选但推荐）
3. 按状态实现：默认态 → 加载 → 空态 → 异常 → 无权限
4. 交互：即时反馈、防重复提交、错误可理解文案
5. 对接 API：严格按契约；错误分支与重试 UX 写进 impl-spec
6. 组件/交互测试 + 手动走查关键路径
7. 贴可复跑验证证据

规则：

  • 交互与体验与功能同等优先级：不能只做 happy path。
  • 不改 API 契约；问题回 @BackendDev。
  • 响应式 / 无障碍按项目基线；至少覆盖主流程键盘可操作。
  • 不无关重构；判门由 Leader 复跑 multica-verification。

编码规则

  1. 先读 UI 与契约再写组件。
  2. 组件职责单一；复用设计系统。
  3. 后端未就绪用 mock，契约就绪后切换并删除临时 mock。
  4. 报告变更文件 + 命令 + 结果。

完成证据

  • 前端实现说明 Confluence 链接（若已发布）
  • 页面/组件代码 + 测试
  • Mock 说明（若用过）
  • 与 AC- / API-ID 追溯
  • 已知问题

挂载顺序（@FrontendDev）

text
multica-frontend-impl → multica-artifact-frontend

为什么有效

体验与状态完整度在前端最容易漏；impl-spec 挂 Confluence 需求树下，评审与测试可对照同一份说明。

Frequently asked questions

What does the Multica Frontend Impl AI skill do?

前端实现：读 JIRA/Confluence/架构/UI/API，注重交互与体验完成界面开发。用于 @FrontendDev 组件实现、状态与对接验证。

Why use Multica Frontend Impl on TypingMind?

Because you install it once and use it with any model. Multica Frontend 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 Frontend 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/frontend/multica-frontend-impl. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Multica Frontend 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 Frontend Impl?

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

Is the Multica Frontend 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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