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bcn-transport

bcn-transport

github.com/abelv22Other070 installsUpdated today
Repository

About bcn-transport

bcn-transport is a skill that gives assistants domain knowledge about Barcelona’s taxi sector and transport hubs. It covers local terminology, site layouts, regulations, and demand periods, and can inform the `useWhereNext` scoring logic.

Key features

  1. 01Cover BCN Airport T1 and T2 zones
  2. 02Provide airport geofence polygon details
  3. 03Describe Sants taxi zones and traffic flow
  4. 04Explain IMET rules and demand patterns
  5. 05Relate flights, trains, and travel times to demand

Use cases

  1. 01Review geofence changes around airport terminals
  2. 02Analyze taxi queue areas at Sants station
  3. 03Refine taxi demand and recommendation scores
  4. 04Plan operations around local peak periods

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/abelv22/project-foundation --skill bcn-transport

After installing, type/bcn-transportin Claude Code to confirm it loaded.

Details

From the project README

Barcelona Transportation Context Skill

This skill provides the assistant with specific domain knowledge about the taxi sector in Barcelona and its key transportation hubs.

Knowledge Areas

1. El Prat Airport (BCN) Geography
  • Terminal 1 (T1): Knowledge of "Parrilla" (taxi queue), departures, arrivals, and Puente Aéreo zones.
  • Terminal 2 (T2): Differences between T2A, T2B, and T2C (EasyJet).
  • Geofence Coordinates: Accurate polygon definitions for these zones.
2. Sants Train Station
  • Arrivals/Departures: Understanding the flow of AVE and regional trains.
  • Taxi Zones: Specifics of the Sants taxi queue and surrounding traffic flow.
3. Taxi Sector Operations
  • IMET Regulations: General knowledge of the Metropolitan Institute of Taxi (IMET) rules (shifts, pricing, holidays).
  • Market Dynamics: Understanding when and where demand peaks happen (e.g., Fira Barcelona events, night leisure zones).
4. Recommendation Logic (useWhereNext)
  • Arrival Correlation: Correlating vuelos.json and trenes.json with taxi demand.
  • Travel Times: Knowledge of typical travel times between key points in Barcelona to refine "Where Next" scores.

Guidelines for Responses

  • Use local terminology (Parrilla, Born, Eixample, etc.) where appropriate.
  • When suggesting geofence changes, reference the physical layout of terminals.
  • Help refine the useWhereNext scoring algorithm based on local peak hours.

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