A high-performance AI skill providing real-time traffic monitoring, route calculation, and intelligent departure planning via the TomTom Traffic API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tomtom-traffic
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 tomtom-traffic 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 Traffic Intelligence Skill?
The Traffic Intelligence Skill is a specialized module designed for AI agents within the Openclaw Skills ecosystem. It empowers developers and users to integrate live traffic data directly into their automated workflows, moving beyond static map lookups to provide active commute intelligence.
By leveraging the TomTom Traffic API, this skill calculates precise travel times, identifies congestion points, and manages departure planning. It is engineered for reliability, featuring built-in error handling and rate-limiting to ensure your AI agents remain operational and cost-effective within free-tier API constraints.
Traffic Intelligence Skill Use Cases
- Automating morning commute alerts based on real-time road conditions.
- Planning departure times for calendar events to ensure on-time arrival.
- Integrating live traffic data into enterprise meeting notification systems.
- Monitoring congestion levels between frequent destinations like home and work.
- Enhancing AI travel assistants with live routing and buffer time logic.
How Traffic Intelligence Skill Works
- The user or a parent script triggers a request for traffic info or departure planning.
- The skill retrieves the TomTom API key from the environment variables for secure authentication.
- Geographic coordinates for start and end points are processed through the TomTom routing engine.
- Real-time congestion data is applied to calculate the total travel time in minutes.
- The system applies configurable buffers (e.g., parking or coffee time) to suggest the optimal departure time.
- A formatted alert or JSON object is returned to the user or integrating application.
Traffic Intelligence Skill Setup
To get started with this entry in the Openclaw Skills library, follow these steps:
- Obtain API Credentials: Create a free account at TomTom Developer Portal and generate an API key.
- Configure Environment: Export your key to your shell environment.
export TOMTOM_API_KEY="your_key_here"
- Customize Locations: Edit the
CONFIG.locationsobject intraffic-check.jsto define your frequent destinations. - Test Connection:
node ./traffic-check.js test
Traffic Intelligence Skill Data Schema & Taxonomy
The skill organizes traffic intelligence data into structured objects for easy integration. Below is the primary metadata taxonomy:
| Attribute | Description | Example |
|---|---|---|
route.totalTimeMinutes |
The calculated travel duration including delays. | 42 |
meetingBuffer |
Added time for parking or preparation. | 10 |
departureTime |
Calculated time to leave based on traffic. | 07:18 AM |
congestionLevel |
Metadata regarding current road density. | Moderate |
Traffic Intelligence Skill Advanced Features
- Dynamic Buffer Logic: Automatically adjust buffer times for parking, coffee stops, or pre-meeting prep.
- Resilient Error Handling: Implements exponential backoff for network issues and graceful degradation via cached data.
- Headless CLI Support: Can be run as a standalone tool or imported as a module for complex multi-agent orchestrations.
- Rate Limit Optimization: Optimized for the 2,500 free requests/day tier with recommendations for peak-hour caching.
- Extensible Integration: Designed to be easily coupled with weather APIs or historical pattern databases in the Openclaw Skills framework.
SKILL.md
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