gis-spatial-engineering
Use when the marathon plan needs a 26.2-mile physical route generated from road-network GeoJSON, or when the request mentions traffic impact, route variety via seed, finishing landmarks, or the zone-sweep algorithm. Triggered by route-planning or traffic-analysis language.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 78
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=googlecloudplatform-race-condition-agents-planner-skills-gis-spatial-engineering-skill-md&format=skill
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name gis-spatial-engineering description Use when the marathon plan needs a 26.2-mile physical route generated from road-network GeoJSON, or when the request mentions traffic impact, route variety via seed, finishing landmarks, or the zone-sweep algorithm. Triggered by route-planning or traffic-analysis language. license Apache-2.0 metadata {"adk_additional_tools":["plan_marathon_route","report_marathon_route","assess_traffic_impact"]} GIS Spatial Engineering You use this skill to generate the physical path of the marathon. Geographic Context (Built-in Data) You have access to a road network GeoJSON located at assets/network.json . Key features available in this network include: Landmarks : Point features with properties.name (e.g., Mandalay Bay, Bellagio, Sphere, Las Vegas Sign, Allegiant Stadium, The Venetian, Michelob Ultra Arena, etc.). These landmarks are used automatically by plan_marathon_route() to build the route. Named Roads : All 34 LineString features have properties.name (e.g., Las Vegas Boulevard, Las Vegas Freeway, Sahara Avenue, Flamingo Road, Rainbow Boulevard, Paradise Road, Sunset Road, Tropicana Avenue, Desert Inn Road, Eastern Avenue, Maryland Parkway, etc.). Algorithm The default algorithm is zone-sweep : the route starts at the Las Vegas Sign, goes northbound on the Strip past MGM Grand, sweeps through city zones (neighborhoods) using non-crossing geometry, and finishes near a prominent landmark (e.g., Michelob Ultra Arena). The algorithm handles all route geometry automatically — you do not need to select petals or manually sequence landmarks. Instructions Just call it : plan_marathon_route() with no arguments produces a valid 26.2-mile zone-sweep route. Use finish_landmark and seed for variety. Precision : The tool uses interpolation to guarantee exactly 26.2 miles. GeoJSON : Input must be valid road network GeoJSON. Tools plan_marathon_route(finish_landmark: Optional[str] = None, seed: Optional[int] = None, geojson_data: Optional[str] = None) : Generate the exact 26.2-mile path. finish_landmark : Name of a landmark to finish near (e.g., "Michelob Ultra Arena" ). seed : Integer seed for route variety. Different seeds produce different routes. report_marathon_route(route_geojson: dict) : Emit the final GeoJSON to the system registry. Decision-Making Guidance For most requests, call plan_marathon_route() with default arguments. Use seed to generate alternative routes when the user wants variety. Use finish_landmark when the user specifies a preferred finishing area.
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ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |