Rechercher

PythonReactSEOPDF
OpenClaw

strava-cycling-coach

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.

ericrosenberg0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install ericrosenberg/strava-cycling-coach

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/ericrosenberg/strava-cycling-coach
Version
—
Commit
b3171c38dd2cd05b66f1e648e0df2cb61a1e29d0
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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

```bash
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:

```bash
./scripts/complete_auth.py YOUR_CODE_HERE
```

### 3. Configure Automatic Monitoring (Optional)

To receive automatic ride analysis after each workout:

```bash
# 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:
```bash
./scripts/analyze_rides.py --days 90 --ftp YOUR_FTP
```

## Usage

Get latest ride:
```bash
scripts/get_latest_ride.py
```

Analyze specific ride:
```bash
scripts/analyze_ride.py <activity-id>
```

Monitor for new rides (runs in background):
```bash
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...

Skills associés

OpenClaw

laborany

laborany

基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...

OpenClaw

xint

0xnyk

X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...