A professional integration allowing AI agents to programmatically access and manage Brandfetch brand assets such as logos, colors, and fonts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install brandfetch
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 brandfetch 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 Brandfetch Skill?
The Brandfetch integration for Openclaw Skills provides a streamlined way for AI coding agents to interact with the Brandfetch brand asset management platform. By leveraging this skill, developers can automate the retrieval and management of company logos, brand colors, fonts, and screenshots directly within their development environments.
This skill is powered by the Membrane framework, which abstracts away the complexities of authentication and credential management. It allows your agent to focus on high-level integration logic while Openclaw Skills handle the underlying API communication and security, ensuring a consistent brand identity across all digital properties and marketing materials.
Brandfetch Skill Use Cases
- Automatically fetching the latest company logos for a new website UI development task.
- Retrieving brand-compliant hex color codes for dynamic CSS generation in frontend projects.
- Synchronizing updated brand assets across multiple repositories and marketing platforms.
- Conducting brand consistency audits by accessing screenshots and alternative names through AI-driven analysis.
How Brandfetch Skill Works
- The developer installs the Membrane CLI and authenticates the account to enable Openclaw Skills.
- A connection is established to Brandfetch using a simple URL-based command that normalizes the domain.
- The AI agent searches for specific brand actions (like fetching a logo) using natural language intent discovery.
- Membrane executes the requested action, handling OAuth flows or API key management server-side.
- The requested brand data is returned to the agent in a structured JSON format for immediate integration into the codebase.
Brandfetch Skill Setup
First, install the Membrane CLI to manage your Openclaw Skills:
npm install -g @membranehq/cli@latest
Authenticate your agent:
membrane login --tenant --clientName=openclaw
Connect to the Brandfetch service:
membrane connection ensure "https://brandfetch.io/" --json
Ensure the connection state is READY before executing brand asset actions.
Brandfetch Skill Data Schema & Taxonomy
The Brandfetch skill organizes data around the following core entities to provide structure for Openclaw Skills:
| Entity | Data Provided |
|---|---|
| Brand | Core brand metadata and identification |
| Logo | Access to various logo formats (SVG, PNG) and variants |
| Color | Specific brand hex codes and color palette data |
| Font | Typography assets and official font references |
| Screenshot | Visual snapshots of the brand's digital presence |
| Account | API key management and authentication status |
Each response includes an inputSchema for parameters and an outputSchema for easy parsing by the AI agent.
Brandfetch Skill Advanced Features
- Natural language action discovery for finding the exact brand management tool needed without manual API lookups.
- Transparent API proxying to send custom requests directly to Brandfetch endpoints while maintaining automatic authentication.
- Headless environment support using code-based authorization flows for remote servers.
- Automated credential refresh cycles managed server-side by the Membrane framework.
- Machine-readable JSON output across all commands to facilitate complex multi-agent Openclaw Skills workflows.
SKILL.md
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