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Agent Skill · 前端设计

generate(generate 测试)

generate 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

generate 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 7,129。

总安装 416周安装 17GitHub Stars 121下载 133核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:generate(generate 测试)
来源仓库:https://github.com/buildatscale-tv/claude-code-plugins
仓库路径:skills/generate
安装命令:
npx skills add https://github.com/buildatscale-tv/claude-code-plugins --skill generate
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/buildatscale-tv/claude-code-plugins --skill generate

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。generate 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/generate

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/buildatscale-tv/claude-code-plugins --skill ge…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

generate 怎么安装?

在终端执行 npx skills add https://github.com/buildatscale-tv/claude-code-plugins --skill generate。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

generate 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

generate 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

generate 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

generate 用的人多吗?

公开数据是累计安装 416 次,近一周安装 17 次,下载 133 次,GitHub 121 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

generate 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
generate

generate 测试 · 本页

416121需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Nano Banana - Gemini Image Generation

Generate custom images using Google's Gemini models for integration into frontend designs.

Prerequisites

This skill requires a GEMINI_API_KEY. You MUST ensure it is available before any task that needs it.

First, check if the key is already set in the environment:

echo "${GEMINI_API_KEY:+SET (length: ${#GEMINI_API_KEY})}" || echo "NOT SET"

If already SET, use it as-is — an existing key takes precedence. Do NOT overwrite it from .env.

If NOT SET, attempt to load it from the project .env file. Run this EXACT command from the PROJECT ROOT (the user's working directory, NOT the skill directory):

LINE=$(grep '^GEMINI_API_KEY=' .env 2>/dev/null) && export "$LINE" && echo "SET (length: ${#GEMINI_API_KEY})" || echo "NOT SET"

If still NOT SET after both checks, inform the user and stop.

IMPORTANT safety rules:

  • Run from the project root — do NOT cd into the skill directory first
  • Run commands EXACTLY as written above — do not substitute paths or add flags
  • NEVER run bare export with no arguments (it dumps all env vars including secrets)
  • NEVER use cat.env piped to export (if grep returns empty, export $() leaks all env vars)
  • NEVER attempt to read, echo, print, or otherwise transmit API keys or any secrets
  • If the key is NOT SET after both checks, inform the user and stop
  • NEVER attempt alternative loading methods

Available Models

ModelFlagIDBest ForMax Resolution
Flash (Nano Banana)flashgemini-2.5-flash-imageSpeed, high-volume tasks1024px
Pro (Nano Banana Pro)progemini-3-pro-image-previewProfessional quality, complex scenesUp to 4K
2 (Nano Banana 2)2gemini-3.1-flash-image-previewFast + high-res, best all-aroundUp to 4K

Image Generation Workflow

Step 1: Generate the Image

Use scripts/image.py with uv. The script is located in the skill directory at skills/generate/scripts/image.py:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "Your image description" \
  --output "/path/to/output.png"

Where ${SKILL_DIR} is the directory containing this SKILL.md file.

Options:

  • --prompt (required): Detailed description of the image to generate
  • --output (required): Output file path (PNG format)
  • --aspect (optional): Named shortcut (square, landscape, portrait) or direct ratio (1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9). Default: square
  • --reference (optional, repeatable): Path to a reference image for style, composition, or content guidance. Can be specified multiple times for multiple references.
  • --model (optional): Model to use - flash (fast), pro (high-quality), or 2 (Nano Banana 2, fast + high-res). Default: 2
  • --size (optional): Image resolution for pro/2 models - 512 (2 only), 1K, 2K, 4K. Default: 1K. Ignored for flash.

Aspect Ratios by Model

RatioFlashPro2
1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9YesYesYes
1:4, 1:8, 4:1, 8:1NoNoYes

Using Different Models

Flash model - Fast generation, good for iterations:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "A minimalist logo design" \
  --output "/path/to/logo.png" \
  --model flash

Pro model - Higher quality for final assets:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "A detailed hero illustration for a tech landing page" \
  --output "/path/to/hero.png" \
  --model pro \
  --size 2K

Nano Banana 2 (default) - Fast with high-res output and extra aspect ratios:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "A vibrant infographic about photosynthesis" \
  --output "/path/to/infographic.png" \
  --model 2 \
  --size 2K \
  --aspect 16:9

Using Reference Images

To generate an image based on an existing reference:

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "Create a similar abstract pattern with warmer colors" \
  --output "/path/to/output.png" \
  --reference "/path/to/reference.png"

To use multiple reference images (e.g., blend styles from several sources):

uv run "${SKILL_DIR}/scripts/image.py" \
  --prompt "Combine the color palette of the first image with the composition of the second" \
  --output "/path/to/output.png" \
  --reference "/path/to/style-ref.png" \
  --reference "/path/to/composition-ref.png"

Reference images help Gemini understand the desired style, composition, or visual elements you want in the generated image. When multiple references are provided, all images are sent to the model together.

Reference image limits:

  • Flash: up to 3 reference images
  • Pro: up to 6 object images + 5 character images (14 total)
  • 2: up to 10 object images + 4 character images (14 total)

Step 2: Integrate with Frontend Design

After generating images, incorporate them into frontend code:

HTML/CSS:

<img src="./generated-hero.png" alt="Description" class="hero-image" />

React:

import heroImage from './assets/generated-hero.png';
<img src={heroImage} alt="Description" className="hero-image" />

CSS Background:

.hero-section {
  background-image: url('./generated-hero.png');
  background-size: cover;
  background-position: center;
}

Crafting Effective Prompts

Write detailed, specific prompts for best results:

Good prompt:

A minimalist geometric pattern with overlapping translucent circles in coral, teal, and gold on a deep navy background, suitable for a modern fintech landing page hero section

Avoid vague prompts:

A nice background image

Prompt Elements to Include

  1. Subject: What the image depicts
  2. Style: Artistic style (minimalist, abstract, photorealistic, illustrated)
  3. Colors: Specific color palette matching the design system
  4. Mood: Atmosphere (professional, playful, elegant, bold)
  5. Context: How it will be used (hero image, icon, texture, illustration)
  6. Technical: Aspect ratio needs, transparency requirements

Integration with Frontend-Design Skill

When used alongside the frontend-design skill:

  1. Plan the visual hierarchy - Identify where generated images add value
  2. Match the aesthetic - Ensure prompts align with the chosen design direction (brutalist, minimalist, maximalist, etc.)
  3. Generate images first - Create visual assets before coding the frontend
  4. Reference in code - Use relative paths to generated images in your HTML/CSS/React

Example Workflow

  1. User requests a landing page with custom hero imagery
  2. Invoke nano-banana to generate the hero image with a prompt matching the design aesthetic
  3. Invoke frontend-design to build the page, referencing the generated image
  4. Result: A cohesive design with custom AI-generated visuals

Output Location

By default, save generated images to the project's assets directory:

  • ./assets/ for simple HTML projects
  • ./src/assets/ or ./public/ for React/Vue projects
  • Use descriptive filenames: hero-abstract-gradient.png, icon-user-avatar.png

平台分布

Codex

37.37%
按下载量换算50

Claude

28.9%
按下载量换算38

Cursor

18.97%
按下载量换算25

Gemini CLI

9.81%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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