Use Case
Strava Python isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Query Strava activities, stats, and workout data using Python/stravalib with interactive setup This guide covers how to deploy Strava Python for your team, standardize prompts, and create shared workflows that everyone can use.
Install Strava Python in your project directory: .claude/skills/strava-python/
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 Python 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 Python
How can my team use Strava Python together?
Set up Strava Python for our project so everyone can use it
Create a shared workflow using Strava Python 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-pythonOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install strava-pythonβ 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-python/π‘Extract and place the folder at the path above, then restart your agent.