The Cabify Knowledge Card is an intelligence-gathering skill that provides instant technical and business snapshots of the global ride-sharing platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cabify
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 cabify 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 Cabify Knowledge Card?
The Cabify Knowledge Card is a specialized module for Openclaw Skills designed to provide structured intelligence on Cabify, a leader in the multi-modal transportation sector. This skill bridges the gap between raw data and actionable insights, allowing AI agents to retrieve industry-specific dimensions such as core service offerings, market coverage, and competitive positioning within the global mobility landscape.
By implementing this skill, developers enable their AI agents to perform high-speed background research, business audits, and market analysis. It serves as a foundational knowledge layer that ensures the agent can discuss Cabify's role in the sharing economy with technical accuracy and contextual depth.
Cabify Knowledge Card Use Cases
- Rapid market intelligence gathering for the transportation and mobility sector.
- Background due diligence for business decision-making and investment research.
- Academic or technical research assistance for case studies on ride-sharing technology.
- Real-time data retrieval during user queries regarding Cabify service availability.
How Cabify Knowledge Card Works
- The AI agent detects a user query or internal task related to Cabify or ride-sharing benchmarks.
- The Openclaw Skills execution engine triggers the read_when condition based on keyword matching.
- The skill parses the internal knowledge schema to extract relevant dimensions like industry, core business, and market reach.
- The agent synthesizes the structured data into a concise, human-readable format or uses it to augment a larger research report.
Cabify Knowledge Card Setup
To integrate this knowledge card into your agent environment, include the skill definition in your local Openclaw Skills library:
# Navigate to your agent skills directory
cd ~/openclaw-agent/skills
# Fetch or create the cabify knowledge module
touch cabify_info.md
# Register the skill with your local AI engine
openclaw register cabify_info.md
Cabify Knowledge Card Data Schema & Taxonomy
The skill organizes Cabify data through a rigorous metadata taxonomy to ensure high scannability for AI agents:
| Dimension | Description |
|---|---|
| Industry | Classification within the global transportation sector |
| Core Business | Primary products and logistics services provided |
| Coverage | Breakdown of global and regional market presence |
| Status | Industry influence and competitive standing |
Additional metadata includes triggers for user_search and basic_info_retrieval to optimize response latency.
Cabify Knowledge Card Advanced Features
- Multi-agent research support: Can be shared across different AI entities to maintain knowledge consistency.
- Contextual triggers: Automatically activates during broader discussions on transit systems or mobility-as-a-service (MaaS).
- Extensible schema: Allows for the integration of official API documentation or real-time industry analysis reports as supplemental data sources.
SKILL.md
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