AgentSkillsCN

multi-modal-travel-planner

当用户请求制定一份涵盖多种交通方式、包含特定途经点与偏好设置的完整旅行行程时，该技能会全流程规划旅程：1）以出发地为中心，查找周边的景点（如咖啡馆）；2）基于成本与耗时信息，计算各站点之间的最优换乘路线；3）从抵达点出发，规划至最终目的地的步行路线；4）将整套行程以结构化的形式输出。触发条件包括“旅行计划”“路线规划”“从X前往Y的旅程”，或当用户明确指定了多个目的地，并提出了“直达路线”“最短距离”“最近的[业态]”等偏好时。

SKILL.md
--- frontmatter
name: multi-modal-travel-planner
description: When the user requests a complete travel itinerary involving multiple modes of transportation with specific waypoints and preferences. This skill handles end-to-end journey planning including 1) Finding nearby points of interest (like coffee shops) relative to departure points, 2) Calculating optimal transit routes between locations with cost and duration information, 3) Determining walking routes from arrival points to final destinations, and 4) Formatting the complete plan into structured output. Triggers include requests for 'travel plans', 'route planning', 'journey from X to Y', or when users specify multiple destinations with preferences like 'direct route', 'shortest distance', or 'nearest [business type]'.

Instructions

1. Interpret the Request

  • •Identify the departure point, final destination, and any intermediate waypoints (e.g., "buy a Starbucks").
  • •Note specific user preferences: "direct route," "shortest possible distance," "as close as possible to [location]."
  • •Clarify the required output format if specified (e.g., format.json).

2. Gather Location Data

  • •Use google_map-maps_geocode to get coordinates and canonical addresses for all named locations (departure, destination, waypoints).
  • •If a waypoint is a generic business type (e.g., "Starbucks"), use google_map-maps_search_places with the departure location as a reference point and a reasonable radius (e.g., 500m).
  • •For the closest match, use google_map-maps_place_details to get the full address and confirm proximity.

3. Plan the Main Transit Route

  • •Use google_map-maps_directions in transit mode between the departure and final destination.
  • •If the API returns ZERO_RESULTS, use the playwright_with_chunk browser tool to navigate to https://www.google.com/maps/dir/[ORIGIN]/[DESTINATION] and scrape the transit information from the page. Look for the "Best" or "Transit" option.
  • •Extract key details: line name (e.g., "Yokosuka Line"), duration, and cost.

4. Plan the Final Walking Route

  • •Use google_map-maps_directions in walking mode from the arrival station/point to the final destination.
  • •If the optimal exit from the arrival point is ambiguous (e.g., different station exits), use google_map-maps_distance_matrix to compare walking distances from plausible exits (e.g., "East Exit" vs. "West Exit") to the destination. Recommend the exit with the shortest distance.

5. Assemble and Format the Plan

  • •Compile all gathered data into a structured JSON object matching the user's requested format.
  • •Use filesystem-write_file to save the final plan to the specified path.
  • •Optionally, use filesystem-read_file to verify the output and present a concise summary to the user.

Key Principles

  • •Progressive Disclosure: Use the bundled reference/format_guide.md for complex output schema details.
  • •Direct Route Priority: When the user asks for a "direct route," prioritize transit options with no transfers.
  • •Closest Point of Interest: For requests like "as close as possible," filter search results by distance from the reference point.