A comprehensive suite of Python scripts for accessing real-time French transport, logistics, and weather data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install french-services
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 french-services 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 French Services Skill?
French Services is a specialized toolkit designed for Openclaw Skills that enables AI agents to interact with essential French infrastructure. It provides a bridge to major national services including SNCF rail networks, La Poste parcel tracking, and the RATP/IDFM transit systems in the Île-de-France region. Built with a focus on efficiency, these scripts use only the Python standard library, ensuring zero-dependency deployment for localized AI assistants.
By incorporating this skill, developers can create agents that handle complex travel planning, monitor delivery statuses, and provide hyper-local weather updates using Météo France data. This collection of Openclaw Skills is essential for anyone building AI-driven tools tailored for the French market or users residing in France.
French Services Skill Use Cases
- Querying SNCF train itineraries, next departures, and network disruptions.
- Tracking parcel delivery progress using La Poste tracking numbers.
- Retrieving real-time traffic status for Paris metro (RATP) and RER lines.
- Fetching hyper-local weather forecasts and current conditions without requiring API keys.
- Automating travel logistics by integrating transport schedules into wider agent workflows.
How French Services Skill Works
- The AI agent identifies a user intent related to French services, such as checking a train or a parcel.
- The agent executes the corresponding Python script within the Openclaw Skills framework (e.g., sncf.py, laposte.py, or ratp.py).
- The script performs a secure HTTPS request to the relevant official API (Navitia, PRIM, or La Poste) using provided environment variables.
- Data is processed locally by the script to handle errors and format the output.
- The script returns either a human-readable summary or a structured JSON object to the agent for final response generation.
French Services Skill Setup
To use these Openclaw Skills, ensure Python 3 is installed. No additional pip packages are required. You must set environment variables for the services you wish to use:
# Set API Keys
export SNCF_API_KEY='your_navitia_token'
export LAPOSTE_API_KEY='your_laposte_token'
export IDFM_API_KEY='your_prim_token'
# Test the weather service (no key required)
python3 scripts/meteo.py Paris
# Search for a train itinerary
python3 scripts/sncf.py search Paris Lyon
French Services Skill Data Schema & Taxonomy
The skill organizes data via direct API responses and supports the following structures:
| Service | Data Handled | Format Details |
|---|---|---|
| SNCF | Routes, Departures, Disruptions | Station names, ISO 8601 timestamps, and disruption strings. |
| La Poste | Parcel Tracking | Current status, location history, and delivery estimates. |
| Météo | Weather Forecasts | Temperature, coordinates (lat/lon), and 3-7 day outlooks. |
| RATP/IDFM | Transit Status | Line-specific traffic alerts and real-time passage times at stops. |
All scripts support a --json flag to provide machine-readable output for programmatic integration within Openclaw Skills.
French Services Skill Advanced Features
- Zero-dependency architecture utilizing only Python standard libraries for maximum portability.
- Dual-mode output supporting both human-readable text and structured JSON for multi-agent interoperability.
- Flexible weather querying via city names or precise latitude/longitude coordinates.
- Comprehensive transit monitoring capable of checking global network status or specific line disruptions (e.g., Metro 13 or RER A).
- Built-in error handling for missing API keys with descriptive setup instructions.
SKILL.md
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