Agent SkillsNeverSight/learn-skills.dev › logo-design-guide

logo-design-guide

GitHub

提供AI生成Logo的设计原则、提示词技巧及迭代工作流。涵盖Logo类型分类、避免文字渲染缺陷的策略,以及通过CLI工具生成矢量图标并配合设计软件添加文本的最佳实践,适用于品牌标识与初创公司Logo制作。

data/skills-md/1nfsh-s1/skills/logo-design-guide/SKILL.md NeverSight/learn-skills.dev

触发场景

logo design create logo brand logo logo generation ai logo icon design

安装

npx skills add NeverSight/learn-skills.dev --skill logo-design-guide -g -y
更多选项

非标准路径

npx skills add https://github.com/NeverSight/learn-skills.dev/tree/main/data/skills-md/1nfsh-s1/skills/logo-design-guide -g -y

不安装直接使用

npx skills use NeverSight/learn-skills.dev@logo-design-guide

指定 Agent (Claude Code)

npx skills add NeverSight/learn-skills.dev --skill logo-design-guide -a claude-code -g -y

安装 repo 全部 skill

npx skills add NeverSight/learn-skills.dev --all -g -y

预览 repo 内 skill

npx skills add NeverSight/learn-skills.dev --list

SKILL.md

Frontmatter
{
    "name": "logo-design-guide",
    "description": "Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration workflows. Use for: brand identity, startup logos, app icons, favicons, logo concepts. Triggers: logo design, create logo, brand logo, logo generation, ai logo, logo maker, icon design, brand mark, logo concept, startup logo, app icon logo",
    "allowed-tools": "Bash(infsh *)"
}

Logo Design Guide

Design effective logos with AI image generation via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Generate a logo concept
infsh app run falai/flux-dev-lora --input '{
  "prompt": "flat vector logo of a mountain peak with a sunrise, minimal geometric style, single color, clean lines, white background",
  "width": 1024,
  "height": 1024
}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Logo Types

Type Description When to Use Example
Wordmark Company name styled as logo Strong brand name, short (< 10 chars) Google, Coca-Cola
Lettermark Initials only Long company name, formal IBM, HBO, CNN
Pictorial Recognizable icon/symbol Universal brand, works without text Apple, Twitter bird
Abstract Geometric/non-literal shape Tech companies, conceptual brands Nike swoosh, Pepsi
Mascot Character illustration Friendly brands, food/sports KFC Colonel, Pringles
Combination Icon + wordmark together New brands needing both recognition and name Burger King, Adidas

Critical AI Limitation

AI image generators cannot reliably render text. Letters will be distorted, misspelled, or garbled.

Strategy:

  1. Generate the icon/symbol only with AI
  2. Add text/wordmark in a design tool (Figma, Canva, Illustrator)
  3. Or use a combination approach: AI icon + manually set typography

Prompting for Logos

Keywords That Work

flat vector logo, simple minimal icon, single color silhouette,
geometric logo mark, clean lines, negative space design,
line art logo, flat design icon, minimalist symbol

Keywords That Fail

❌ photorealistic logo (contradiction — logos aren't photos)
❌ 3D rendered logo (too complex, won't scale down)
❌ gradient logo (inconsistent results, hard to reproduce)
❌ logo with text "Company Name" (text rendering fails)

Prompt Structure

flat vector logo of [subject], [style], [color constraint], [background], [additional detail]

Examples by Logo Type

# Abstract geometric
infsh app run falai/flux-dev-lora --input '{
  "prompt": "flat vector abstract logo, interlocking hexagonal shapes forming a letter S, minimal geometric style, single navy blue color, white background, clean sharp edges"
}'

# Pictorial nature
infsh app run falai/flux-dev-lora --input '{
  "prompt": "flat vector logo of a fox head in profile, geometric faceted style, orange and white, minimal clean lines, white background, negative space design"
}'

# Mascot style
infsh app run bytedance/seedream-4-5 --input '{
  "prompt": "friendly cartoon owl mascot logo, simple flat illustration, wearing graduation cap, purple and gold colors, white background, clean vector style"
}'

# Tech abstract
infsh app run xai/grok-imagine-image-pro --input '{
  "prompt": "minimal abstract logo mark, interconnected nodes forming a brain shape, line art style, single teal color, white background, tech startup aesthetic"
}'

Scalability Rules

A logo must work at every size:

Context Size What Must Work
Favicon 16x16 px Silhouette recognizable
App icon 1024x1024 px Full detail visible
Social avatar 400x400 px Clear at a glance
Business card ~1 inch Clean print reproduction
Billboard 10+ feet No pixelation, simple enough

Scalability Checklist

  • Recognizable as a 16px favicon (squint test)
  • Works in single color (black on white)
  • Works inverted (white on black)
  • No tiny details that disappear at small sizes
  • No thin lines that vanish when shrunk
  • Clear silhouette without color

Color Guidelines

  • Maximum 2-3 colors for the primary logo
  • Must work in single color (black, white, or brand primary)
  • Consider color psychology:
    • Blue: trust, professional (finance, tech, healthcare)
    • Red: energy, urgency (food, entertainment, retail)
    • Green: growth, nature (health, sustainability, finance)
    • Orange: friendly, creative (startups, youth brands)
    • Purple: luxury, wisdom (beauty, education)
    • Black: premium, elegant (fashion, luxury, tech)
  • Test on both light and dark backgrounds

Iteration Workflow

# Step 1: Generate 5-10 broad concepts
for i in {1..5}; do
  infsh app run falai/flux-dev-lora --input '{
    "prompt": "flat vector logo of a lighthouse, minimal geometric, single color, white background"
  }' --no-wait
done

# Step 2: Refine the best concept with variations
infsh app run falai/flux-dev-lora --input '{
  "prompt": "flat vector logo of a geometric lighthouse with light beam rays, minimal line art, navy blue, white background, negative space design"
}'

# Step 3: Generate at high resolution for final
infsh app run bytedance/seedream-4-5 --input '{
  "prompt": "flat vector logo of a geometric lighthouse with radiating light beams, minimal clean design, navy blue single color, pure white background",
  "size": "2K"
}'

# Step 4: Upscale for production use
infsh app run falai/topaz-image-upscaler --input '{
  "image": "path/to/best-logo.png",
  "scale": 4
}'

Common Mistakes

Mistake Problem Fix
Too much detail Loses clarity at small sizes Simplify to essential shapes
Relies on color Fails in B&W contexts Design in black first
Text in AI generation Garbled/misspelled letters Generate icon only, add text manually
Trendy effects (glows, shadows) Dates quickly, reproduction issues Stick to flat, timeless design
Too many colors Hard to reproduce, expensive printing Max 2-3 colors
Asymmetric without purpose Looks unfinished Use intentional asymmetry or stay balanced

File Format Delivery

Format Use Case
SVG Scalable vector, web, editing
PNG (transparent) Digital use, presentations
PNG (white bg) Documents, email signatures
ICO / Favicon Website favicon (16, 32, 48px)
High-res PNG (4096px+) Print, billboards

Note: AI generates raster images (PNG). For true vector SVG, use the AI output as a reference and trace in a vector tool, or use AI-to-SVG conversion tools.

Related Skills

npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: infsh app list

版本历史

  • e0220ca 当前 2026-07-05 20:55

依赖关系

  • suggested inference-sh/skills@ai-image-generation
  • suggested inference-sh/skills@prompt-engineering

同 Skill 集合

data/skills-md/00prabalk00/claude-skills/knowledge-base-gap-finder/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-agile/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-auth/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-issues/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-project-management/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-projects/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-safe/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-search/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-spaces/SKILL.md
data/skills-md/01000001-01001110/agent-jira-skills/jira-transitions/SKILL.md
data/skills-md/0731coderlee-sudo/wechat-publisher/wechat-publisher/SKILL.md
data/skills-md/0froq/skills/conventionalcommits/SKILL.md
data/skills-md/0froq/skills/nuxt/SKILL.md
data/skills-md/0froq/skills/oq/SKILL.md
data/skills-md/0froq/skills/pinia/SKILL.md
data/skills-md/0froq/skills/pnpm/SKILL.md
data/skills-md/0froq/skills/slidev/SKILL.md
data/skills-md/0froq/skills/tsdown/SKILL.md
data/skills-md/0froq/skills/turborepo/SKILL.md
data/skills-md/0froq/skills/unocss/SKILL.md
data/skills-md/0froq/skills/vitepress/SKILL.md
data/skills-md/0froq/skills/vitest/SKILL.md
data/skills-md/0froq/skills/vue-best-practices/SKILL.md
data/skills-md/0froq/skills/vue-router-best-practices/SKILL.md
data/skills-md/0froq/skills/vue-testing-best-practices/SKILL.md
data/skills-md/0froq/skills/vue/SKILL.md
data/skills-md/0froq/skills/vueuse-functions/SKILL.md
data/skills-md/0froq/skills/web-design-guidelines/SKILL.md
data/skills-md/0juano/agent-skills/bondterminal-x402/SKILL.md
data/skills-md/0juano/agent-skills/edgeone-pages-deploy/SKILL.md
data/skills-md/0juano/agent-skills/ley-ar/SKILL.md
data/skills-md/0juano/agent-skills/ticktick/SKILL.md
data/skills-md/0juano/agent-skills/x-image-cards/SKILL.md
data/skills-md/0juano/x-image-cards/x-image-cards/SKILL.md
data/skills-md/0x0funky/agent-sprite-forge/generate2dsprite/SKILL.md
data/skills-md/0x0funky/agent-sprite-forge/video2dsprite/SKILL.md
data/skills-md/0x2e/superpowers/brainstorming/SKILL.md
data/skills-md/0x2e/superpowers/dispatching-parallel-agents/SKILL.md
data/skills-md/0x2e/superpowers/executing-plans/SKILL.md
data/skills-md/0x2e/superpowers/finishing-a-development-branch/SKILL.md
data/skills-md/0x2e/superpowers/receiving-code-review/SKILL.md
data/skills-md/0x2e/superpowers/requesting-code-review/SKILL.md
data/skills-md/0x2e/superpowers/subagent-driven-development/SKILL.md
data/skills-md/0x2e/superpowers/systematic-debugging/SKILL.md
data/skills-md/0x2e/superpowers/test-driven-development/SKILL.md
data/skills-md/0x2e/superpowers/using-git-worktrees/SKILL.md
data/skills-md/0x2e/superpowers/using-superpowers/SKILL.md
data/skills-md/0x2e/superpowers/verification-before-completion/SKILL.md
data/skills-md/0x2e/superpowers/writing-plans/SKILL.md
data/skills-md/0x2e/superpowers/writing-skills/SKILL.md

元信息

文件数
0
版本
f4b4cf1
Hash
eee9b1fe
收录时间
2026-07-05 20:55

首页 - Wiki
Copyright © 2011-2026 iteam. Current version is 2.155.2. UTC+08:00, 2026-08-09 18:53
浙ICP备14020137号-1 $访客地图$