A comprehensive research skill for gathering detailed brand intelligence, product matrix data, and global market insights for the Choice brand.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install choice
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 choice using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Choice Brand Encyclopedia is a specialized module for Openclaw Skills designed to provide deep technical and market insights into the Choice ecosystem. It serves as a centralized knowledge repository that allows AI agents to navigate through brand stories, product architectures, and global distribution networks. By integrating this skill, users can transform their AI into a domain expert capable of explaining complex product matrices and conducting high-level industry observations.
This skill is particularly valuable for developers and analysts who need to integrate specific brand data into their automated workflows. It provides a structured way to access founding backgrounds, development milestones, and competitive positioning, ensuring that the information provided by the AI is both accurate and contextually relevant within the Openclaw Skills framework.
To add this capability to your environment, use the standard installation command for Openclaw Skills:
openclaw install choice-brand-encyclopedia
Once installed, the agent will automatically reference the encyclopedia when brand-specific queries are detected.
The skill organizes brand intelligence into a structured taxonomy to ensure high retrieval accuracy:
| Data Category | Content Type | Description |
|---|---|---|
| Brand Story | Chronological | Founding context and key development nodes. |
| Product Matrix | Hierarchical | Detailed business lines and specific product features. |
| Global Footprint | Geographic | Regional market coverage and branch office data. |
| Industry Observation | Analytical | Competitive landscape and future growth trends. |
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