A comprehensive framework for generating professional, scalable logo concepts and brand marks using advanced AI image models.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install logo-design-guide
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install logo-design-guide using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Logo Design Guide?
The Logo Design Guide is a technical resource within the Openclaw Skills library that provides the principles and workflows necessary to create production-ready logos using AI. It bridges the gap between raw image generation and professional design standards by focusing on flat vector aesthetics, geometric simplicity, and brand scalability. This skill ensures that users can move beyond messy, detailed AI images to produce clean symbols, icons, and marks suitable for modern brand identities.
By utilizing the inference.sh CLI, this guide enables developers to integrate logo generation into their existing workflows. It emphasizes a structured approach that separates symbol generation from typography, ensuring the final output meets the rigorous demands of favicon visibility, print reproduction, and high-resolution digital displays. This is a vital component of the Openclaw Skills ecosystem for anyone building new products or startups.
Logo Design Guide Use Cases
- Creating minimal vector-style logos for new startups and open-source projects.
- Generating distinctive app icons and favicons for mobile and web applications.
- Prototyping mascot illustrations and character-based branding for creative agencies.
- Developing abstract geometric marks for technology and infrastructure companies.
- Rapidly iterating through hundreds of brand concepts to find a unique visual direction.
How Logo Design Guide Works
- Set up the environment by installing the inference.sh CLI to access high-performance AI image models.
- Select a logo type such as Pictorial, Abstract, or Mascot based on the project's brand identity needs.
- Utilize the specific flat vector prompt structure to generate initial concepts while avoiding AI's inherent text rendering limitations.
- Apply the scalability checklist to ensure the generated design remains recognizable at sizes ranging from 16px to billboard dimensions.
- Execute the refinement and upscaling workflow to produce high-resolution, production-grade assets for digital and print use.
Logo Design Guide Setup
To begin using these capabilities within Openclaw Skills, install the inference.sh CLI and authenticate your session:
curl -fsSL https://cli.inference.sh | sh && infsh login
# Add the necessary skills to your agent environment
npx skills add inference-sh/skills@logo-design-guide
Logo Design Guide Data Schema & Taxonomy
The skill organizes design outputs and metadata to ensure consistency across the brand lifecycle:
| Attribute | Description |
|---|---|
| Prompt Template | The specific structured string used to generate the vector-style asset. |
| Model ID | The specific AI model used (e.g., flux-dev-lora, seedream) for reproduction. |
| Scalability Matrix | A record of how the design performs at 16px, 400px, and 1024px. |
| Color Metadata | Primary and secondary color constraints for single-color reproduction. |
| Upscale Ratio | The multiplier used for final production-ready high-resolution PNGs. |
Logo Design Guide Advanced Features
- Multi-model batch generation to compare concepts across different AI architectures simultaneously.
- Automated upscaling integration for transforming 512px concepts into 4096px+ production assets.
- Negative space optimization through specialized prompting techniques for clean, modern aesthetics.
- Direct integration with Openclaw Skills for automated asset handoff to frontend development workflows.
- Programmatic iteration loops to generate variations of a single concept for fine-tuning.
SKILL.md
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