{"slug":"op7418-guizang-sports-skill","name":"Guizang Sports Skill","description":"A Claude Code/Codex skill for analyzing FIT/KML sports tracks with local 3D route reports and PNG/MP4 exports.","long_description":"# Guizang Sports Skill · FIT/KML 运动分析与 3D 路线故事\n\n![GitHub stars](https://img.shields.io/github/stars/op7418/guizang-sports-skill?style=flat-square)\n![License](https://img.shields.io/github/license/op7418/guizang-sports-skill?style=flat-square)\n![Skill](https://img.shields.io/badge/Skill-Agent-111111?style=flat-square)\n![Tracks](https://img.shields.io/badge/Tracks-FIT%20%2F%20KML-D6FF64?style=flat-square&labelColor=202020)\n![Claude Code](https://img.shields.io/badge/Claude%20Code-Supported-6B5B95?style=flat-square)\n![Codex](https://img.shields.io/badge/Codex-Supported-222222?style=flat-square)\n\n一个面向 Claude Code、Codex 等本地 Agent 环境的运动轨迹 Skill。把一个或多个 `.fit` / `.kml` 文件交给 Agent，它会分析骑行、跑步或徒步数据，生成有依据的结论与建议，并自动打开本地可视化报告页。需要分享时，还能继续制作带 3D 路线、数据卡片和沿途照片的 PNG / H.264 MP4。\n\n**Ride Relief 是这个 Skill 自带的本地报告网页，不需要另装软件。** 它只监听本机地址，轨迹和分析通过系统临时目录交给页面，不会复制进仓库。\n\n![Ride Relief 运动分析与 3D 路线演示](https://github.com/user-attachments/assets/05c81338-b6a0-486a-90f9-046be56c20f7)\n\n## 30 秒开始\n\n```bash\nnpx skills add https://github.com/op7418/guizang-sports-skill --skill fit-ride-studio\n```\n\n安装后直接对 Agent 说：\n\n```text\n帮我分析一次运动。\n```\n\n如果还没有收到轨迹文件，Agent 会请你把文件拖进对话，或直接告诉它本地路径（例如 `~/Downloads/ride.fit`）。收到后会自动检查运行依赖、完成分析并打开报告页，不需要你手动安装网页依赖或启动服务。\n\n没有现成文件也可以立即体验：\n\n```text\n用示例数据演示一遍。\n```\n\n仓库内的 [`samples/demo.kml`](./samples/demo.kml) 是完全合成的闭环骑行，不包含真实运动者或住址数据；坐标仅供界面演示，不代表实际可骑行路线。\n\n也可以把需求和文件一起发过去：\n\n```text\n分析这份 FIT，重点看看踏频、爬坡和数据质量。\n把这几次骑行做一个综合分析，找出最长、爬升最多和传感器最完整的一次。\n这是两步路导出的徒步 KML，分析路线强度和主要爬坡。\n把最长的那次做成一个 9:16 的 3D 路线演示视频。\n用这些沿途照片做路线故事，每张停留 2.5 秒。\n```\n\n## 使用流程\n\n1. **索要轨迹**：请求里没有文件时，Agent 会请你把一个或多个 FIT / KML 拖进对话，或提供本地路径，不会让你先配置项目。\n2. **自动分析**：收到文件后，Agent 会用锁定版本准备缺失依赖，解析轨迹并给出单次报告或多活动综合报告。\n3. **打开报告页**：分析完成后，Agent 会生成临时链接并打开 Ride Relief；链接会自动加载轨迹，不依赖浏览器操作文件选择框。\n4. **按需导出**：只有你提出图片、动画或视频需求时，Agent 才进入导出创作器，配置比例、背景、照片、图层和水印。\n\n本地浏览器不可用时，Agent 会降级交付文字报告和分析 JSON；云端环境里的 `127.0.0.1` 通常无法从你的电脑访问，因此不会假装已经打开页面。\n\n## 如何取得 FIT / KML\n\n不同 App 的菜单会随版本调整，优先选择保留原始传感器数据的 FIT；只有路线几何时再用 KML。\n\n| 来源 | 常见取得方式 |\n| --- | --- |\n| Garmin Connec","tagline":"🚴 Claude Code / Codex skill for FIT & KML sports analysis — cycling, running, hiking, sensor and grade insights, local 3D route reports, PNG & H.264 MP4 exports. 运动轨迹分析与 3D 路线故事","category":"sports-analytics","commerce":{"type":"unknown","billing":"unknown","amount":null,"currency":null,"sourceUrl":null,"checkedAt":null,"runtime":"unknown","purchaseUrl":null,"checkout":"external","purchaseRequiresUserConsent":true},"tags":["fit","kml","cycling","running","3d-visualization"],"author":"op7418","verified":false,"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"OpenAgentSkill auto-indexer","sourceDetail":"op7418/guizang-sports-skill","creatorName":"op7418","creatorUrl":"https://github.com/op7418","sourceUrl":"https://github.com/op7418/guizang-sports-skill","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/op7418-guizang-sports-skill#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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