Use Case
Strava CLI is a powerful AI agent skill that extends your assistant with new capabilities. Interact with Strava via the strava-client-cli Python tool. Use for viewing activities, athlete profiles, stats, and exporting data. Covers setup (creating a Strava account, API app, and OAuth) and all CLI commands. This guide walks you through installing Strava CLI, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Strava CLI: npx clawhub@latest --dir ~/.claude/skills install strava-cli
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to developer & devops to trigger Strava CLI
Review the output and refine your prompt for better results
Combine Strava CLI with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Strava CLI
Help me get started with Strava CLI
What can Strava CLI do for my developer & devops workflow?
Show me an example of using Strava CLI
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install strava-cliOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install strava-cliβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/strava-cli/π‘Extract and place the folder at the path above, then restart your agent.