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.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install strava-cycling-coachOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install strava-cycling-coachβ 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-cycling-coach/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Strava Cycling Coach can do for your AI workflow
Cycling performance from strava directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,726+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Strava Cycling Coach
Help me get started with Strava Cycling Coach
Explains what Strava Cycling Coach does, walks through the setup, and runs a quick demo based on your current project
Use Strava Cycling Coach to track and analyze cycling performance from Strava
Invokes Strava Cycling Coach with the right parameters and returns the result directly in the conversation
What can I do with Strava Cycling Coach in my data & analytics workflow?
Lists the top use cases for Strava Cycling Coach, with example commands for each scenario
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Strava Cycling Coach extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Strava Cycling Coach as its underlying capability.
Strava Cycling Coach works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Strava Cycling Coach once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Strava Cycling Coach installs like any other MCP skill: drop the folder into `~/.claude/skills/strava-cycling-coach/` for global access, or `.claude/skills/strava-cycling-coach/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/strava-cycling-coach`, or let the AI decide when it's the right tool for your request.
Strava Cycling Coach has been installed 1,726 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/strava-cycling-coach/ for personal use (all projects), or .claude/skills/strava-cycling-coach/ for project-specific use. Restart your AI client, then invoke with /strava-cycling-coach or let the AI discover it automatically.
Strava Cycling Coach supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Strava Cycling Coach is free to install. Check the repository for licensing information.
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.
Strava
Load and analyze Strava activities, stats, and workouts using the Strava API
Coach Skill
Create personalized triathlon, marathon, and ultra-endurance training plans. Use when athletes ask for training plans, workout schedules, race preparation, or coaching advice. Can sync with Strava to analyze training history, or work from manually provided fitness data. Generates periodized plans with sport-specific workouts, zones, and race-day strategies.
Strava Python
Query Strava activities, stats, and workout data using Python/stravalib with interactive setup
Automate my data & analytics tasks using Strava Cycling Coach
Identifies repetitive steps in your workflow and sets up Strava Cycling Coach to handle them automatically
Strava Cycling Coach is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.