Agent Skills
› NeverSight/learn-skills.dev
› bcn-transport
bcn-transport
GitHub提供巴塞罗那交通地理与出租车运营专业知识，涵盖El Prat机场航站楼细节、Sants火车站客流及出租车排队区。结合IMET法规、市场需求动态及航班列车数据，优化出租车调度推荐算法与地理围栏设置。
Trigger Scenarios
查询巴塞罗那出租车排队位置或规则
分析机场或火车站的出租车需求高峰
获取巴塞罗那特定区域（如T1/T2/Sants）的交通地理信息
优化基于实时交通数据的出租车调度建议
Install
npx skills add NeverSight/learn-skills.dev --skill bcn-transport -g -y
SKILL.md
Frontmatter
{
"name": "bcn-transport",
"description": "Expert in Barcelona's transportation geography (El Prat Airport, Sants Station) and taxi sector operational patterns."
}
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.jsonandtrenes.jsonwith 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
useWhereNextscoring algorithm based on local peak hours.
Version History
- e0220ca Current 2026-07-05 22:17
