Use Case
Strava CLI isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 covers how to deploy Strava CLI for your team, standardize prompts, and create shared workflows that everyone can use.
Install Strava CLI in your project directory: .claude/skills/strava-cli/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Strava CLI in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Strava CLI
How can my team use Strava CLI together?
Set up Strava CLI for our project so everyone can use it
Create a shared workflow using Strava CLI for our team
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.