gemini-frontend

gemini-frontend is a skill for Claude Code, Codex from VCnoC/Claude-Code-Zen-mcp-Skill-Work. It costs 0 tokens per session (5,369 once invoked), scanned A, original, Apache-2.0.

A workflow for building front-end websites and mobile apps with tools such as React, Vue, Angular, React Native, and Flutter. It can use design files or interface screenshots as references; a monorepo is one repository containing multiple related projects or packages.

In plain words
What is it for?
Use it to create or improve pages, components, and user interfaces, build mobile screens, and reorganise front-end projects. It is intended for tasks involving the listed front-end and mobile technologies.
Why use it?
It helps turn visual designs into interface code and supports work across large projects. It also groups analysis, code generation, checking, and documentation into one workflow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions Codex; mentions Gemini CLI.

Good fit Use it to create or improve pages, components, and user interfaces, build mobile screens, and reorganise front-end projects. It is intended for tasks involving the listed front-end and mobile technologies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add VCnoC/Claude-Code-Zen-mcp-Skill-Work --skill gemini-frontend
Clone the repo
git clone --depth 1 https://github.com/VCnoC/Claude-Code-Zen-mcp-Skill-Work

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gemini-frontend

README.md
[![agentmods](https://agentmods.dev/badge/skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend/github.svg)](https://agentmods.dev/skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend)
Your own site
<a href="https://agentmods.dev/skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend"><img src="https://agentmods.dev/badge/skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gemini-frontend

Your own site · 80×15
<a href="https://agentmods.dev/skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend"><img src="https://agentmods.dev/badge/skills/vcnoc/claude-code-zen-mcp-skill-work/gemini-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,369 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.05369
Opus 5 $0.00000 $0.02684
Sonnet 5 $0.00000 $0.01074
Haiku 4.5 $0.00000 $0.00537

Measured 9d ago against content hash a26383d8c522, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gemini-frontend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/gemini-frontend/SKILL.md · 689 lines

How it starts

The opening of the file, as written. The whole thing — 689 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gemini-frontend - Gemini CLI 前端开发专用 Skill

Description

专注于前端和移动端开发的 skill,通过 Gemini CLI(via clink)发挥多模态和超长上下文优势。

适用场景:

  • React/Vue/Angular 组件开发
  • React Native/Flutter 移动端开发
  • 设计稿 → 前端代码实现
  • UI/UX 实现和优化
  • 前端项目重构

核心优势(基于 Gemini 3.0):

  • 📷 多模态能力:直接理解设计稿、UI 截图
  • 📚 超长上下文:100万 token,处理大型 monorepo
  • 🎨 UI 理解:博士级推理能力,理解复杂 UI 逻辑
  • 🚀 代码生成:擅长 React/Vue/Flutter 代码生成

⚠️ 重要说明

阶段命名澄清:

  • 本 skill 的 Phase 1-5 是内部工作流阶段(Skill-level phases)
  • 与 CLAUDE.md 的 P1-P4(分析问题、制定方案、执行方案、错误处理)是不同层级
  • gemini-frontend 通常在 P3(执行方案) 阶段被 main-router 调用
  • Phase 1-5 是在 P3 阶段内部顺序执行的子步骤

层级关系示例:

P3(执行方案) [CLAUDE.md 项目阶段]
  └─ gemini-frontend skill [由 main-router 调用]
      ├─ Phase 1: 初始化 Gemini CLI 会话
      ├─ Phase 2: 需求分析与设计
      ├─ Phase 3: 代码生成
      ├─ Phase 4: 质量检查
      └─ Phase 5: 文档生成

How It's Invoked(如何被调用)

调用方式:main-router skill 自动路由

路由触发条件:

  • 用户请求包含前端框架关键词(React, Vue, Angular, Flutter, React Native)
  • 用户请求包含 UI/组件/页面 等关键词
  • 用户提供设计稿/UI 截图
  • frontend_score ≥ 50(参见 main-router 评分机制)

评分机制详解:

main-router 使用以下评分规则判断是否路由到 gemini-frontend:

评分项 分值 示例关键词
Tier 1 关键词 +30~35分 React, Vue, Angular, component, 组件, 页面, UI, 前端
Tier 2 关键词 +15~20分 Flutter, React Native, mobile, 移动端, iOS, Android
Tier 3 上下文 +10分 package.json 存在且包含前端依赖
图片附件 +25分 设计稿、UI 截图
后端信号抵消 -15~-25分 API, backend, database, FastAPI, Django

路由决策阈值:

  • Score ≥ 80:自动路由到 gemini-frontend(高置信度)
  • Score 50-79:询问用户是否使用 gemini-frontend(中置信度)
  • Score < 50 且 backend_signals ≥ 2:全栈项目,建议任务分解

参数继承:

  • automation_mode: 从 main-router 继承(见 CLAUDE.md 共享概念)
  • coverage_target: 从 main-router 继承(默认 85%,最低 70%)

示例流程:

用户请求: "帮我开发一个 React 登录组件"
  ↓
main-router 检测:
  - "React" (Tier 1) → +35分
  - "组件" (Tier 1) → +30分
  - 总分: 65分
  ↓
路由决策: 50 ≤ 65 < 80 → 询问用户
  ↓
用户确认: "是"
  ↓
调用 gemini-frontend skill
  ↓
gemini-frontend 执行 Phase 1-5
  ↓
返回完整的 React 组件 + 文档 + 质量报告

Read the full file on GitHub · 689 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 689 lines · 0 tokens per session scan A a26383d8c522

Subscribe to this mod's changes

gemini-frontend is a skill published in the GitHub repository VCnoC/Claude-Code-Zen-mcp-Skill-Work (116 stars, last pushed 8mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 5,369 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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