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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 官方收录技能 质量 优秀 · 78 v1.0.0

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下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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