Give your AI agents a professional human appearance with fast avatar shortlists and transparent background options.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install face
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 face 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 Face?
The Face skill is a specialized utility within the Openclaw Skills ecosystem designed to put a human face on AI agents, personas, or communication surfaces like Telegram. It streamlines the process of selecting a visual identity by fetching curated lists of high-quality, AI-generated human faces. The skill prioritizes speed and reliability, focusing on stable listing URLs to provide developers with a refined workflow for avatar management without the need for manual image searching.
Face Use Cases
- Creating a distinct and professional visual persona for an AI assistant or chatbot.
- Generating shortlists of realistic human faces for multi-agent team simulations.
- Sourcing transparent-background avatars for seamless integration into web and mobile UI designs.
- Establishing long-term visual consistency for agent identities by storing stable detail links.
How Face Works
- The skill initiates a request to a stable URL base, defaulting to beautified young-adult listings.
- It processes the HTML content to apply verified filters such as gender, race, hair length, and emotional state.
- Using an optimized Python-based extraction method, the skill identifies image IDs and preview URLs directly from the source.
- It generates a shortlist of 3 to 6 numbered options, including both standard and transparent background variants.
- The user selects a preferred option, and the skill provides the detail page link and image URL for permanent use as an avatar or in identity storage.
Face Setup
To get started with this component of Openclaw Skills, ensure your environment has python3 and curl installed. The core extraction logic uses Python's standard libraries to fetch and parse metadata.
# Verify your system dependencies
python3 --version
curl --version
No complex browser automation is required, as the skill is optimized for direct data retrieval from stable endpoints.
Face Data Schema & Taxonomy
The skill organizes face metadata into a structured format for easy selection and implementation:
| Field | Description |
|---|---|
n |
The selection index for the user interaction |
detail |
The canonical URL for the face's detail and metadata page |
thumb |
The direct URL for the standard image preview |
transparent |
The URL for the transparent background version (if available) |
image_id |
The unique site identifier for the specific face image |
Face Advanced Features
- Advanced filtering support for specific head poses including front-facing, left-facing, and right-facing options.
- Multi-trait refinement allowing for combinations of race, eye color, and hair color.
- Intelligent extraction of high-resolution metadata (og:image) from detail pages for high-quality previews.
- Integrated support for transparent avatar selection to improve UI/UX consistency across agent platforms.
SKILL.md
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