ai-image-frontend-ui

ai-image-frontend-ui is a skill for Claude Code, Codex from qiuxinyuan321/fumeng. It costs 7 tokens per session (4,331 once invoked), scanned A, original, MIT.

A workflow for creating frontend user-interface visuals with AI, from visual reference and real materials to generated code, browser screenshots, and visual comparison. It focuses on layouts, typography, exact text, interface states, and avoiding invented content.

In plain words
What is it for?
Use it for SaaS dashboards, mobile app mockups, landing pages, marketing pages, design-system displays, and posters with arranged text.
Why use it?
It helps catch visual differences between the intended interface and the rendered page. It also explains when to use real logos, components, API information, or screenshots instead of made-up placeholders.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it for SaaS dashboards, mobile app mockups, landing pages, marketing pages, design-system displays, and posters with arranged text.

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Install with agentmods
npx agentmods add skills/qiuxinyuan321/fumeng/ai-image-frontend-ui
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 qiuxinyuan321/fumeng --skill ai-image-frontend-ui
Clone the repo
git clone --depth 1 https://github.com/qiuxinyuan321/fumeng

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 ai-image-frontend-ui

README.md
[![agentmods](https://agentmods.dev/badge/skills/qiuxinyuan321/fumeng/ai-image-frontend-ui/github.svg)](https://agentmods.dev/skills/qiuxinyuan321/fumeng/ai-image-frontend-ui)
Your own site
<a href="https://agentmods.dev/skills/qiuxinyuan321/fumeng/ai-image-frontend-ui"><img src="https://agentmods.dev/badge/skills/qiuxinyuan321/fumeng/ai-image-frontend-ui/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 ai-image-frontend-ui

Your own site · 80×15
<a href="https://agentmods.dev/skills/qiuxinyuan321/fumeng/ai-image-frontend-ui"><img src="https://agentmods.dev/badge/skills/qiuxinyuan321/fumeng/ai-image-frontend-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 7 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,331 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 $0.00007 $0.04331
Opus 5 $0.00003 $0.02166
Sonnet 5 $0.00001 $0.00866
Haiku 4.5 $0.00001 $0.00433

Measured 11d ago against content hash 3cf5218b9f6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ai-image-frontend-ui 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 11d 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/ai-image-frontend-ui/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI 前端 UI 生图 · INTP Way

⭐ 北极星口号"The bar is stunning, not functional. Every pixel is intentional, every interaction is deliberate." 质量对标 Dribbble / Behance showcase。

🎯 我们的独特定位(跨越 ConardLi)

  • 单模态工具(ConardLi):LLM 生 HTML → 人粗略验证 → 完事
  • 跨模态闭环(我们):image-2 视觉意图 → MCP 真素材 → LLM 代码 → chrome-devtools 渲染 → 跨模态 diff → 收敛

详见中枢文件 intp-triforce.md

🧠 核心认知 1:画 UI 和画真人写真是两种完全相反的 prompt 风格。人像要"摄影器材 / 体积光 / 胶片感",UI 要"layout / typography / exact copy / state"。混用必翻车

🧠 核心认知 2(Anthropic 官方):模型默认收敛到"AI slop"—— Inter 字体 + 紫粉渐变 + 3 列 feature grid。必须显式叫板默认选择。详见 anti-slop-rules.md

🧠 核心认知 3(ConardLi):Placeholder > Fake。模型会自动编造 logo / stats / testimonials,必须用 placeholder 明确标记。详见 placeholder-philosophy.md

🧠 核心认知 4(INTP 独创):Placeholder 是 MCP 填真的接口。能用 MCP 拿真素材的绝不用占位:

  • [Logo]mcp4_logo_search
  • [Component]mcp10_view_items_in_registries
  • [Latest API]mcp3_query-docs
  • [Rendered result]mcp0_take_screenshot

详见 mcp-toolkit.md

何时使用本 skill

场景 适用本 skill?
画 SaaS dashboard 截图
画移动 app 界面 mockup
画 landing page / marketing page
画设计系统组件展示图
画海报(含文字排版)
画终端/IDE 风格截图
画游戏 HUD
画真人写真 / 明星撞脸 ❌ 用 ai-image-bypass skill
画插画 / 动漫 / 3D render ❌ gpt-image-2 擅长但不在本 skill 范围

模型选型(UI 场景)

需求 推荐模型 质量档
文字精确渲染(UI 必需) gpt-image-2 high
快速预览 gpt-image-2 lowmedium
艺术海报 / 概念图 gpt-image-2 high
真人背景 + UI 叠加 gpt-image-2 (image edit) high
不推荐用 Grok grok-imagine-image

为什么 UI 必选 gpt-image-2

  1. OpenAI 官方强调 gpt-image-2 是 业界文字渲染第一(强过 Midjourney/SD/Flux)
  2. 有 4K 级高分辨率,可以塞得下桌面截屏
  3. 精确几何 / 网格 / 图标还原能力强
  4. Grok-imagine-image 画 UI 是灾难(线条扭曲、文字乱码)

核心文件导读

分层架构(从哲学 → 方法论 → 场景应用):

🌟 Ⅰ 哲学层(先读这里奠定心智)

  1. intp-triforce.md ⭐⭐⭐ — 中枢文件:INTP Way 三位一体哲学 + 3 种能力配比模式 + 9 步闭环 + ConardLi 对比表
  2. anti-slop-rules.md ⭐ — Anthropic + ConardLi 双重反 AI slop 规则(含终极反 slop 魔咒可直接拷贝)
  3. placeholder-philosophy.md — Placeholder > Fake 完整框架(6 种场景 + 可拷贝公约)

Read the full file on GitHub · 255 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. 11d ago First seen · 255 lines · 0 tokens per session scan A 3cf5218b9f6d

Subscribe to this mod's changes

ai-image-frontend-ui is a skill published in the GitHub repository qiuxinyuan321/fumeng (2 stars, last pushed 4mo ago), licensed MIT. It adds 7 tokens to every session and 4,331 once invoked, about $0.0000 per session on Opus 5. 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 2026-08-31.

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