A comprehensive informational skill for AI agents to retrieve data on cherry varieties, producing regions, and health benefits.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cherry
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 cherry using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This Openclaw Skills entry provides a structured encyclopedia guide for Cherry (樱桃). It serves as a technical bridge for AI agents to access detailed information regarding seasonal availability, geographical origins, and nutritional profiles. By leveraging web search capabilities, the skill ensures that developers and users have access to the most current trends and expert recommendations in the pomology and retail landscape.
The skill is designed to transform simple queries into deep-dive research reports. Whether you are looking for specific cultivar data or market trends, this skill within the Openclaw Skills ecosystem streamlines the information retrieval process for any AI coding agent or research-focused automation.
To integrate this capability into your environment, use the standard command-line interface for Openclaw Skills:
# Install the cherry skill
openclaw install cherry
# Configure any optional search parameters
openclaw configure cherry
The skill organizes information into a structured format to ensure clarity and ease of use:
| Attribute | Description | Type |
|---|---|---|
| Variety | The specific name and classification of the cherry | String |
| Season | Peak harvest and availability timeframe | Date Range |
| Region | Top producing geographical locations | List |
| Benefits | Nutritional value and health-related facts | Markdown List |
| Sources | Verified links to expert sources and news | URL Array |
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