A comprehensive behavioral correction system for adult dog potty training that tracks logs, provides reminders, and analyzes progress.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dog-potty-training
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 dog-potty-training using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The dog potty training skill is a specialized behavioral management tool designed for pet owners utilizing Openclaw Skills. It addresses the specific challenges of adult dog house-training by maintaining detailed logs of walking schedules, potty success rates, and indoor accidents. By centralizing this data, the skill helps users maintain the consistency required to modify long-standing habits.
This skill goes beyond simple logging by providing context-aware coaching. It encourages the use of positive reinforcement and enzymatic cleaners while helping users identify spatial 'hotspots' where accidents frequently occur. Through structured data persistence, it transforms raw observations into actionable weekly progress reports.
To initialize the skill, define your pet's parameters within your configuration. Ensure your agent has write access to the memory directory.
# Example profile configuration
- Name: Buddy
- Age: 8 years
- Walk Frequency: Every 4-6 hours
- Reward Method: Treats + High-pitched praise
The skill will automatically generate the memory/dog-training.md file upon your first interaction.
The skill organizes training data within memory/dog-training.md using a structured Markdown format for easy human and machine readability:
| Data Component | Description |
|---|---|
| Basic Info | Stores dog name, age, breed, and training start date. |
| Walk Logs | Tables recording time, location, potty results, and rewards given. |
| Accident Logs | Tables tracking time, indoor location, discovery method, and cleaning protocol. |
| Weekly Stats | Aggregated metrics including success rates and frequency trends. |
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