idfm-journey
Query Île-de-France Mobilités (IDFM) PRIM/Navitia for Paris + suburbs public transport (Île-de-France) — place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key.
Best use case
idfm-journey is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Query Île-de-France Mobilités (IDFM) PRIM/Navitia for Paris + suburbs public transport (Île-de-France) — place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key.
Teams using idfm-journey should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/idfm-journey-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How idfm-journey Compares
| Feature / Agent | idfm-journey | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Query Île-de-France Mobilités (IDFM) PRIM/Navitia for Paris + suburbs public transport (Île-de-France) — place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# IDFM Journey (PRIM/Navitia)
Use the bundled script to call PRIM/Navitia endpoints without extra dependencies.
## Metadata
- **Author:** anthonymq
- **Version:** 0.1.6
## Trigger phrases (examples)
- "Itinéraire de {origine} à {destination}"
- "Route from {origin} to {destination} in Paris / Île-de-France"
- "Check RER/metro disruptions" / "incidents on line {line}"
## Prereqs
- Set `IDFM_PRIM_API_KEY` in the environment before running.
### Generating an API Key
To obtain an IDFM PRIM API key:
1. Visit [https://prim.iledefrance-mobilites.fr/](https://prim.iledefrance-mobilites.fr/)
2. Create an account or log in
3. Navigate to "Espace développeur" or the developer portal
4. Subscribe to the "Navitia" API
5. Your API key will be generated and displayed in your dashboard
6. Export it in your environment: `export IDFM_PRIM_API_KEY="your-key-here"`
## Quick commands
Run from anywhere (path is inside the skill folder):
- Resolve places (best match + list):
- `python3 scripts/idfm.py places "Ivry-sur-Seine" --count 5`
- Journeys (free-text from/to; resolves place ids first):
- `python3 scripts/idfm.py journeys --from "Ivry-sur-Seine" --to "Boulainvilliers" --count 3`
- Incidents / disruptions (by line id or filter):
- `python3 scripts/idfm.py incidents --line-id line:IDFM:C01727`
- `python3 scripts/idfm.py incidents --filter 'disruption.status=active'`
Add `--json` to print raw API output.
## Notes
- If place resolution is ambiguous, increase `--count` and choose the right `stop_area` id.
- For API details and examples, read: `references/idfm-prim.md`.Related Skills
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