A specialized AI agent skill designed to programmatically find and retrieve knitting patterns for craft-focused workflows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jpeng-knitting-pattern
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 jpeng-knitting-pattern using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Knitting Pattern skill is a technical bridge between AI agents and extensive craft databases, allowing for the seamless discovery of knitting instructions and DIY guides. By integrating this capability into Openclaw Skills, developers can build intelligent agents that assist users in sourcing project inspiration, managing yarn requirements, and organizing technical knitting specifications.
This tool is particularly useful for creators building hobbyist applications or personal assistant agents that need to handle physical craft domains. It simplifies the process of querying complex pattern metadata and returns structured data that is ready for further processing or display.
To integrate this capability into your environment, follow these steps:
First, set your authentication credentials:
export KNITTING_API_KEY="your-api-key"
Execute the skill via the CLI:
python3 scripts/knitting_pattern.py --input <input_query> --output <output_path>
The skill provides a standardized output format to ensure compatibility with other Openclaw Skills. The primary data structure is defined as follows:
| Field | Type | Description |
|---|---|---|
success |
Boolean | Indicates if the pattern search was successful. |
data |
Object | Contains the specific pattern metadata, including materials and steps. |
results |
Array | A list of matching patterns when multiple options are found. |
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