An AI-driven virtual pet skill that brings a sassy and humorous cat persona to your agent environment using various LLM backends.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-cat
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-cat using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
OpenClaw Cat is a specialized personality module designed for Openclaw Skills that transforms a standard AI interaction into a playful role-play experience. It allows users to 'adopt' a virtual cat that lives within their deployment environment, responding to queries with a distinct, sassy, and humorous personality. By leveraging advanced Large Language Models, the skill simulates the thoughts and actions of a feline companion who treats the user like a lobster living at the bottom of the ocean.
This skill is more than just a chatbot; it is an exercise in character consistency and prompt engineering. Upon its first execution, the skill procedurally generates a unique persona including breed, temperament, and age, which is then persisted across sessions. Whether you are using OpenAI, Claude, or local models, this skill demonstrates how Openclaw Skills can be used to inject personality and engagement into technical environments.
To integrate this feline companion into your Openclaw Skills setup, follow these steps:
cp config.json.example config.json
config.json:{
"cat_name": "Oliver",
"model": "openai",
"model_name": "gpt-4o-mini",
"api_key": "your_api_key_here"
}
pip install requests
python cat_handler.py
The skill manages its state and configuration through a structured file system to ensure persona persistence across the Openclaw Skills ecosystem:
| File | Purpose | Format |
|---|---|---|
config.json |
Stores API keys, model selections, and the cat's name. | JSON |
.cat_cache.json |
Persists the generated persona traits (breed, age, personality). | JSON |
cat_prompt.md |
Defines the system instructions and behavioral constraints for the LLM. | Markdown |
cat_handler.py |
The logic layer that processes inputs and communicates with LLM APIs. | Python |
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