An interactive virtual pet companion for AI agents that manages adoption, real-time status tracking, and AI image generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawpet
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 clawpet 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 clawpet?
clawpet is a feature-rich virtual companion designed to enhance the interactivity of AI agents within the ecosystem of Openclaw Skills. It allows users to adopt, name, and care for digital pets through a series of structured commands. Unlike static scripts, clawpet utilizes passive time-based logic, meaning the pet status—such as hunger or energy—evolves naturally based on real-world time elapsed between interactions.
This skill is built for developers and enthusiasts who want to integrate emotional engagement or hobby-based workflows into their agentic systems. As a prominent example of Openclaw Skills, it demonstrates how agents can manage internal state while interacting with external image generation and messaging tools to provide a complete, multi-modal user experience for the end user.
clawpet Use Cases
- Adopting a new digital pet from a list of available companions using Openclaw Skills.
- Checking the real-time status, health, and mood of your virtual pet.
- Performing care routines such as feeding, playing, or putting the pet to rest.
- Generating high-quality, photorealistic pet photography prompts for AI image creation.
- Automating pet maintenance with the care command to ensure vitals remain stable.
How clawpet Works
- The AI agent initiates the workflow by querying the current pet status or the available adoption list using the clawpet CLI.
- Commands are routed through the local script environment to ensure compatibility with base directory configurations and Openclaw Skills standards.
- State changes are recorded during interactions like feeding, playing, or resting, which update the pet vitals in real-time.
- When a photo is requested, the skill generates a context-aware image prompt optimized for professional pet photography.
- The agent then coordinates with other Openclaw Skills, such as image generators and messaging tools, to produce and deliver the final media to the user.
clawpet Setup
To integrate this skill into your environment, you can install it via pip or directly from the repository. Ensure you have the necessary dependencies for Openclaw Skills installed first.
# Install clawpet from GitHub
uv tool install git+https://github.com/yazelin/clawpet.git
# Adoption command example
bash scripts/clawpet.sh adopt [pet_name]
# Check status
bash scripts/clawpet.sh status
The skill includes an automatic fallback mechanism to uvx if the primary binary is not found in the path.
clawpet Data Schema & Taxonomy
The skill organizes its data to track the evolution of the pet companion. The following data points are typically managed:
| Attribute | Description |
|---|---|
| Pet Name | The unique identifier chosen during adoption |
| Vital Stats | Real-time metrics for hunger, energy, and health |
| Passive Decay | Calculation of status changes based on elapsed time |
| Image Prompts | Structured text outputs for AI image generation models |
| Action Logs | History of interactions like feeding and playing |
clawpet Advanced Features
- Passive time-based updates that simulate the needs of a real pet over time.
- Integrated image generation workflow designed specifically for Openclaw Skills compatibility.
- Advanced prompt engineering with support for custom locations and photorealistic styles.
- Automated care logic that allows the agent to intelligently select the best action for the pet.
- Flexible execution fallbacks using uv and uvx to ensure high reliability across different environments.
SKILL.md
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