What problem does it solve? When working with a GTFS MCP server, an AI assistant may not know which transit data tools exist or how to use them in the right order. This Skill injects session-start context so the assistant immediately knows the available feed management, stop search, and departure query tools and the correct workflow for using them. ## Core Features & Use Cases - Tool Awareness: Informs the assistant about GTFS MCP tools including add_feed, list_feeds, find_stops, get_departures, and get_stop_info. - Workflow Guidance: Establishes a clear sequence: list registered feeds first, then resolve stops by name before querying departures. - Continuity Tracking: Reminds the assistant to record feed_id and stop_ids for follow-up queries. - Use Case: A user asks "When is the next train from Westbahnhof?" and the assistant already knows to call list_feeds, resolve the station with find_stops, and then call get_departures. ## Quick Start Ask the assistant to list the registered GTFS feeds and find departures for a station by name.
