Remote OpenClaw

idfm-journey-skill

Transportation
v0.1.6
Benign

Query Île-de-France Mobilités (IDFM) PRIM/Navitia.

1.8K downloads1.8K installsby @anthonymq

Setup & Installation

Install command

clawhub install anthonymq/idfm-journey-skill

If the CLI is not installed:

Install command

npx clawhub@latest install anthonymq/idfm-journey-skill

Or install with OpenClaw CLI:

Install command

openclaw skills install anthonymq/idfm-journey-skill
View on GitHub

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/anthonymq/idfm-journey-skill

What This Skill Does

Queries the IDFM PRIM/Navitia API for public transport in Paris and the Île-de-France region. Covers journey planning between any two locations, station name resolution to stop IDs, and real-time disruption checks on RER and metro lines.

Handles place name resolution automatically, so you can type a station name instead of looking up stop IDs before querying journeys.

When to Use It

  • Finding routes between Paris neighborhoods by typing plain station names
  • Checking active disruptions on a specific RER or metro line before leaving
  • Resolving ambiguous stop names to exact IDFM stop area IDs
  • Planning a trip from the suburbs into central Paris with transfer details
  • Monitoring ongoing incidents across Île-de-France transit lines

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Finding routes between Paris neighborhoods by typing plain station names

AGENT
  1. 1Finding routes between Paris neighborhoods by typing plain station names
  2. 2Checking active disruptions on a specific RER or metro line before leaving
  3. 3Resolving ambiguous stop names to exact IDFM stop area IDs
  4. 4Planning a trip from the suburbs into central Paris with transfer details
  5. 5Monitoring ongoing incidents across Île-de-France transit lines
OUTPUT
Query Île-de-France Mobilités (IDFM) PRIM/Navitia.

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Details

LanguageMarkdown
Last updatedMar 16, 2026
View on GitHub

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