strava-python
Query Strava activities, stats, and workout data using Python/stravalib with interactive setup
Best use case
strava-python is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Query Strava activities, stats, and workout data using Python/stravalib with interactive setup
Teams using strava-python should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/strava-python/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How strava-python Compares
| Feature / Agent | strava-python | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Query Strava activities, stats, and workout data using Python/stravalib with interactive setup
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
SKILL.md Source
# Strava Python Query your Strava activities, stats, and workout data through OpenClaw using Python and stravalib. **Why this skill vs others:** Uses Python/stravalib with an interactive setup wizard (vs curl-based skills requiring manual JSON configuration). ## Requirements - Python 3.7+ - `stravalib` package - Strava API credentials (free) ## Setup 1. **Install dependencies:** ```bash pip install stravalib ``` 2. **Run setup:** ```bash python3 setup.py ``` This will: - Guide you through creating a Strava API app - Handle OAuth authentication - Save credentials to `~/.strava_credentials.json` ## Commands **Recent activities:** ```bash python3 strava_control.py recent ``` **Weekly/monthly stats:** ```bash python3 strava_control.py stats ``` **Last activity:** ```bash python3 strava_control.py last ``` ## Examples Ask OpenClaw: - "Show my recent Strava activities" - "What are my Strava stats this week?" - "What was my last Strava workout?" ## Files - `strava_control.py` - Main controller script - `setup.py` - Interactive setup wizard - `SKILL.md` - This file - `~/.strava_credentials.json` - Credentials (auto-generated) ## Notes - Requires Strava account (free) - API credentials are personal and should not be shared - Rate limits: 100 requests per 15 minutes, 1,000 daily
Related Skills
micropython-skills/sensor
MicroPython sensor reading — DHT11/22, BME280, MPU6050, ADC, ultrasonic HC-SR04, photoresistor, generic I2C sensors.
micropython-skills/network
MicroPython networking — WiFi STA/AP, HTTP requests, MQTT pub/sub, BLE, NTP time sync, WebSocket.
micropython-skills/diagnostic
MicroPython device diagnostics — system info, I2C/SPI bus scan, pin state, filesystem, memory, performance benchmarks.
micropython-skills/algorithm
MicroPython on-device algorithms — PID controller, moving average, Kalman filter, state machine, task scheduler, data logger.
micropython-skills/actuator
MicroPython actuator control — GPIO output, PWM (LED/servo/motor), stepper motor, WS2812 NeoPixel, buzzer.
micropython-skills
Program and interact with embedded development boards (ESP32, ESP32-S3, ESP32-C3, ESP8266, NodeMCU, Raspberry Pi Pico, RP2040, STM32) through real-time REPL. This skill turns microcontroller hardware into an AI-programmable co-processor — read sensors, control actuators, flash firmware, diagnose devices, and deploy algorithms. Trigger when the user mentions any dev board or hardware interaction: ESP32, ESP8266, NodeMCU, Pico, 开发板, 板子, 单片机, 嵌入式, microcontroller, development board, sensor reading, GPIO, LED, motor, relay, I2C, SPI, UART, ADC, PWM, servo, DHT, BME280, temperature sensor, 传感器, 读传感器, 控制电机, 继电器, flash firmware, 烧录, 刷固件, 刷机, mpremote, MicroPython, IoT, MQTT, WiFi on board, 设备没反应, device not responding, or any task involving programming or controlling a physical microcontroller board.
Telegram Shop Bot Developer - Python
I develop fully-featured Telegram shop bots using Python. My bots manage products, orders, and customers professionally.
python-code-review
Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.
pythongo
answer questions about pythongo code, docs, callbacks, errors, modules, functions, marketcenter, paramsmap, instrument_id, exchange, kline data, and strategy examples. use when the user asks about pythongo implementation, behavior, interfaces, usage, installation, faq, or wants pythongo code examples based on the bundled codebase, docs_indexed, docs_normalized, examples.md, and pyi reference markdown files.
bocha-search-python
博查搜索 (Bocha Search) 的 Python 实现技能，提供增强的网页搜索能力。当用户需要通过博查 AI 搜索 API 进行网页搜索、获取联网信息、查找最新资讯或中文内容时使用此技能。与现有的 JavaScript 版本相比，本技能提供更稳定的连接、更灵活的输出格式（原始 JSON/Brave 兼容格式/Markdown）、更好的错误处理和重试机制。适用于 AI Agent 需要联网搜索、RAG 应用获取网页摘要、中文内容检索等场景。
python
Python coding guidelines and best practices. Use when writing, reviewing, or refactoring Python code. Enforces PEP 8 style, syntax validation via py_compile, unit test execution, modern Python versions only (no EOL), uv for dependency management when available, and idiomatic Pythonic patterns.
Li_python_sec_check
Python 安全规范检查工具 - 基于 CloudBase 规范 + 腾讯安全指南 + LLM 智能分析（LLM 功能默认禁用，本地执行优先）