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Logo Design Guide

作者 Ömer Karışman · GitHub ↗ · v0.1.5
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install logo-design-guide
功能描述
Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration w...
使用说明 (SKILL.md)

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 (\x3C 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

安全使用建议
This guide itself is coherent for logo design, but it instructs installing and running a third-party CLI via curl | sh and performing 'infsh login' without declaring required credentials. Before installing or running these commands: (1) verify the cli.inference.sh and dist.inference.sh domains and their reputation; (2) avoid piping remote scripts directly to sh — download the script, inspect it, and verify checksums manually against the provided checksums URL; (3) confirm what account or API key 'infsh login' requires and never expose unrelated credentials; (4) prefer running such installation steps manually (not automatically) and run them in an isolated environment if you need to test; (5) if you want an instruction-only skill without external installs, ask the author to remove the automatic-install instructions or provide a vetted package source (e.g., official GitHub releases or a widely-trusted package manager). If you don't trust the external CLI, treat the skill as read-only guidance rather than an automation recipe.
功能分析
Type: OpenClaw Skill Name: logo-design-guide Version: 0.1.5 The skill is classified as suspicious primarily due to the `SKILL.md` instructing users to install the `inference.sh` CLI via `curl -fsSL https://cli.inference.sh | sh`. This method executes arbitrary code from a remote source, posing a significant supply chain vulnerability and risk to the user's system, even though it's an instruction for the user and not a prompt injection against the AI agent. Additionally, the `allowed-tools: Bash(infsh *)` permission grants the AI agent broad execution capabilities for the `infsh` command, which, depending on the full scope of `infsh`'s subcommands, could represent a risky capability beyond the benign image generation examples provided.
能力评估
Purpose & Capability
The name and description (logo design + AI image generation best practices) align with the SKILL.md content: prompting tips, scalability rules, and examples that call an image-generation CLI. Recommending a CLI (inference.sh) to run models is coherent with the stated purpose.
Instruction Scope
The SKILL.md instructs running networked shell commands (curl | sh https://cli.inference.sh) and using 'infsh login' and model execution. These steps cause network activity and install a third-party binary; they also reference local files (e.g., path/to/best-logo.png) for upload. The instructions do not ask for unrelated system files, but they grant the skill the ability to fetch and execute remote code and to perform authenticated operations without declaring how credentials are supplied.
Install Mechanism
There is no registry install spec, but the guide explicitly tells users/agents to run a remote installer via curl | sh against cli.inference.sh and to download binaries from dist.inference.sh. Pipe-to-sh with network downloads is a high-risk install pattern even if the script claims checksum verification. The guide points to a checksums file but does not embed or automate verification, and the domains are not standard package hosts (e.g., GitHub releases) listed in the skill metadata.
Credentials
The skill declares no required environment variables or credentials, which is good. However, it instructs 'infsh login' and running third-party models (bytedance, falai, xai, etc.), which typically require service credentials or accounts; the SKILL.md does not document where those credentials come from or which env vars/configs the agent will need, creating a gap between claimed and operational requirements.
Persistence & Privilege
The skill is instruction-only, has no install spec in the registry, and 'always' is false. It does not request persistent elevated privileges in its metadata. The main runtime risk is that its instructions ask the agent to install an external CLI, but that is an action the user/agent must perform rather than a registry-enforced persistent presence.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install logo-design-guide
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /logo-design-guide 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.5
- Initial release of Logo Design Guide (v0.1.5). - Provides guidance on AI-powered logo creation, including types of logos, prompt techniques, and best practices. - Detailed sample prompts and CLI commands for generating scalable, minimal logos via inference.sh. - Covers AI limitations (esp. text rendering), color and scalability rules, and iteration workflow. - Includes common pitfalls and file format recommendations for production-ready logos.
v0.1.0
- Initial release of logo-design-guide. - Provides logo design principles and best practices for AI-generated logos. - Covers logo types, effective prompting strategies, scalability rules, and a practical iteration workflow. - Includes tips on overcoming AI text generation limitations and advice on color, format, and common mistakes. - Designed for brand identity, startup logos, app icons, and logo concepts.
元数据
Slug logo-design-guide
版本 0.1.5
许可证
累计安装 3
当前安装数 3
历史版本数 2
常见问题

Logo Design Guide 是什么?

Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration w... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1057 次。

如何安装 Logo Design Guide?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install logo-design-guide」即可一键安装,无需额外配置。

Logo Design Guide 是免费的吗?

是的,Logo Design Guide 完全免费(开源免费),可自由下载、安装和使用。

Logo Design Guide 支持哪些平台?

Logo Design Guide 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Logo Design Guide?

由 Ömer Karışman(@okaris)开发并维护,当前版本 v0.1.5。

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