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logo-generator标志生成器

Agent Skill

logo-generator 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。

总安装

9,474

周安装

387

GitHub Stars

820

下载量

3,065
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:logo-generator(标志生成器)
来源仓库:https://github.com/op7418/logo-generator-skill
仓库路径:skills/logo-generator
安装命令:
npx skills add https://github.com/op7418/logo-generator-skill --skill logo-generator
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/op7418/logo-generator-skill --skill logo-generator

简介

标志生成器用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 建议结合原始 README 和仓库内容核验具体用法和功能边界。

SKILL.md

Logo Generator

Generate professional SVG logos and high-end showcase presentations for products and brands.

Workflow

Phase 1: Information Gathering

Collect essential information from the user:

  1. Product/Brand Name (required)
  2. Industry/Category (e.g., AI, fintech, design tools)
  3. Core Concept (e.g., connection, flow, security, simplicity)
  4. Design Preferences:

- Style: minimal/complex, geometric/organic - Color preference: monochrome/specific colors - Mood: cold/warm, professional/friendly

Ask concise questions to gather this information. Don't overwhelm the user with too many questions at once.

Phase 2: Pattern Matching & SVG Generation

Based on the gathered information:

  1. Generate at least 6 design variants based on references/design_patterns.md

- Match patterns to product characteristics - Use different pattern types and combinations for diversity - Include both single-pattern and mixed-pattern compositions - Vary complexity levels (simple geometric to layered compositions) - Each variant should feel distinctly different, not just parameter tweaks - Explain the design rationale for each variant

  1. Generate SVG code for each variant

- Use viewBox="0 0 100 100" for easy scaling - Keep code clean and well-structured - Use currentColor for flexible color control - Add subtle animations for web display (optional)

  1. Create interactive showcase webpage

- Display all 6+ logo variants in a grid layout - Use the template from assets/showcase_template.html - Include hover effects and smooth transitions - Add design rationale for each variant - Allow easy comparison between variants

Phase 3: Iteration & Refinement

Allow user to provide feedback:

  • Select favorite variants (narrow down from 6+ to 2-3)
  • Adjust specific parameters (size, spacing, rotation)
  • Combine elements from different variants
  • Change colors or add gradients
  • Modify animations or effects
  • Generate additional variants exploring specific directions

Make targeted adjustments based on feedback. Don't regenerate everything unless requested.

Phase 4: High-End Showcase Generation

Once the user selects a preferred logo direction:

  1. Export SVG to PNG

- Use scripts/svg_to_png.py to convert SVG to PNG - Default size: 1024x1024px - Ensure transparent background

  1. Select showcase styles

- Review references/background_styles.md - Recommend 4 styles based on product type and mood - Explain why each style fits

  1. Generate showcase images

- Set up environment (copy .env.example to .env, add API key) - Use scripts/generate_showcase.py with --all-styles flag - Or generate specific styles individually - Each image uses the PNG as reference with Nano Banana API

  1. Create final presentation webpage

- Combine SVG variants and showcase images - Use professional layout with micro-typography - Include download links for all assets

Phase 5: Delivery

Provide the user with:

  • Interactive HTML showcase page
  • SVG files (editable vector format)
  • PNG exports (various sizes if requested)
  • Showcase images (4 professional backgrounds)

Key Design Principles

  1. Provide Variety: Generate at least 6 distinct variants to give users real choices
  2. Start Simple: Begin with basic patterns, add complexity only when needed
  3. Meaningful Design: Connect visual elements to product concepts
  4. Scalability: Ensure logos work at all sizes
  5. Professional Quality: Match high-end brand identity standards
  6. Flexibility: Provide multiple variants for different use cases

Technical Notes

SVG Best Practices

  • Keep viewBox at 0 0 100 100 for consistency
  • Use semantic grouping with <g> tags
  • Leverage <defs> for reusable elements
  • Use <clipPath> for masking effects
  • Prefer geometric primitives over complex paths when possible

Showcase Image Generation

The generate_showcase.py script requires:

  • Python 3.8+
  • Dependencies: pip install -r requirements.txt
  • Environment variables in .env file
  • Reference PNG image (exported from SVG)

Supports both official Google Gemini API and third-party endpoints via GEMINI_API_BASE_URL.

Available Background Styles

From references/background_styles.md:

12 Professional Styles Available:

Dark Styles (6):

  • void (绝对虚空) - Absolute minimalism, hardcore tech
  • frosted (磨砂穹顶) - Modern breathing space, premium products
  • fluid (流体深渊) - AI-native fluidity, dynamic systems
  • spotlight (物理影棚) - Studio lighting, editorial quality
  • analog_liquid (物理流体) - Metallic shimmer on solid color base, creative brands
  • led_matrix (数字硬件) - Digital retro, cyberpunk aesthetics

Light Styles (6):

  • editorial (纸本编辑) - Specialty paper, humanistic brands
  • iridescent (幻彩透砂) - Optical materials, tech hardware
  • morning (晨雾光域) - AI softness, approachable products
  • clinical (无菌影棚) - Spatial order, algorithm-driven brands
  • ui_container (容器化界面) - Digital product native, SaaS platforms
  • swiss_flat (瑞士扁平) - Absolute flatness, timeless authority

Each style has specific visual characteristics and suitable use cases. Consult the reference document for details.

Common Patterns

Pattern: Concentric Circle Dots

<svg viewBox="0 0 100 100">
  <g>
    <!-- Inner ring: 6 dots -->
    <circle cx="50" cy="38" r="3" fill="currentColor"/>
    <!-- Add more dots in circular arrangement -->
  </g>
</svg>

Pattern: Geometric Shape with Line Accent

<svg viewBox="0 0 100 100">
  <polygon points="50,30 70,60 30,60" fill="none" stroke="currentColor" stroke-width="2"/>
  <circle cx="50" cy="30" r="4" fill="currentColor"/>
</svg>

Pattern: Node Network

<svg viewBox="0 0 100 100">
  <path d="M 30 70 Q 50 70, 50 50 T 70 30" stroke="currentColor" stroke-width="2" fill="none"/>
  <circle cx="30" cy="70" r="4" fill="currentColor"/>
  <circle cx="50" cy="50" r="5" fill="currentColor"/>
  <circle cx="70" cy="30" r="4" fill="currentColor"/>
</svg>

For more patterns and combinations, see references/design_patterns.md.

Troubleshooting

SVG not displaying correctly: Check viewBox and ensure all paths are closed

PNG export fails: Verify cairosvg is installed (pip install cairosvg)

Showcase generation fails:

  • Check .env file has valid GEMINI_API_KEY
  • Verify reference PNG exists and is readable
  • Check API quota/rate limits

Third-party API not working: Ensure GEMINI_API_BASE_URL is correctly formatted (e.g., https://api.example.com/v1)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.28%
按下载量换算1,051

Claude

30.03%
按下载量换算920

Cursor

17.42%
按下载量换算534

Gemini CLI

8.41%
按下载量换算258

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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