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strava-cycling-coachStrava 自行车教练

Agent Skill

strava-cycling-coach 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

58,006

周安装

2,393

GitHub Stars

公开资料未说明

下载量

18,953
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:strava-cycling-coach(Strava 自行车教练)
来源仓库:https://github.com/ericrosenberg/strava-cycling-coach
安装命令:
openclaw skills install strava-cycling-coach
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install strava-cycling-coach

简介

通过 Strava 跟踪和分析骑行表现。在分析骑行数据、查看健身趋势、了解锻炼表现或提供有关骑行训练的见解时使用。自动监控新游乐设施并提供性能分析。

SKILL.md

name
strava-cycling-coach
description
Track and analyze cycling performance from Strava. Use when analyzing ride data, reviewing fitness trends, understanding workout performance, or providing insights on cycling training. Automatically monitors new rides and provides performance analysis.

Strava Cycling Coach

Track cycling performance, analyze rides, and monitor fitness progression using the Strava API.

Setup

1. Create Strava API Application

Visit https://www.strava.com/settings/api and create an application:

  • Application Name: Clawdbot (or your preferred name)
  • Category: Data Importer
  • Club: (leave blank)
  • Website: http://localhost
  • Authorization Callback Domain: localhost

Save your Client ID and Client Secret.

2. Run Setup Script

cd skills/strava
./scripts/setup.sh

You'll be prompted for:

  1. Client ID
  2. Client Secret
  3. Visit an OAuth URL to authorize
  4. Copy the authorization code and complete setup with:
./scripts/complete_auth.py YOUR_CODE_HERE

3. Configure Automatic Monitoring (Optional)

To receive automatic ride analysis after each workout:

# Set your Telegram chat ID
export STRAVA_TELEGRAM_CHAT_ID="your_telegram_chat_id"

# Add to your shell profile for persistence
echo 'export STRAVA_TELEGRAM_CHAT_ID="your_telegram_chat_id"' >> ~/.bashrc

# Set up cron job (checks every 30 minutes)
crontab -l > /tmp/cron_backup.txt
echo "*/30 * * * * $(pwd)/scripts/auto_analyze_new_rides.sh" >> /tmp/cron_backup.txt
crontab /tmp/cron_backup.txt

4. Test the Setup

Analyze your recent rides:

./scripts/analyze_rides.py --days 90 --ftp YOUR_FTP

Usage

Get latest ride:

scripts/get_latest_ride.py

Analyze specific ride:

scripts/analyze_ride.py <activity-id>

Monitor for new rides (runs in background):

scripts/monitor_rides.sh

Automatic Monitoring

The skill can automatically:

  1. Check for new rides every 30 minutes
  2. Analyze power, heart rate, and training load
  3. Send insights about performance and fitness trends
  4. Compare to recent training history

Metrics Analyzed

  • Power: Average, normalized, max, variability index
  • Heart rate: Average, max, time in zones
  • Training load: TSS estimation, intensity factor
  • Fitness progression: Trends over time
  • Segments: PR achievements and efforts
  • Comparative: vs recent rides, vs personal bests

Configuration

Edit ~/.config/strava/config.json to customize:

  • Monitoring frequency
  • Analysis preferences
  • Notification settings

API Reference

See references/api.md for complete Strava API documentation.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.99%
按下载量换算17,245

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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