Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Talk to your Strava data — ask questions about your activities, fitness trends, PRs, and training load using AI.
Talk to your Strava data — ask questions about your activities, fitness trends, PRs, and training load using AI.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Chat with your Strava data using AI. Ask about your activities, fitness trends, personal records, training load, and more. Powered by Transition, which syncs with Strava to give AI agents access to your training data.
Download Transition and connect your Strava account Go to Settings > API Keys and tap Generate New Key Set the environment variable: export TRANSITION_API_KEY="tr_live_xxxxxxxxxxxxxxxxxxxxx"
Generate a random structured workout — no account needed. curl "https://api.transition.fun/api/v1/wod?sport=run&duration=45" Parameters: sport — run, bike, swim, or strength (default: run) duration — minutes, 10-300 (default: 45)
Base URL: https://api.transition.fun Auth: Pass X-API-Key header on every request.
Ask questions about your Strava data. The AI coach has full context on your activities and performance. curl -X POST -H "X-API-Key: $TRANSITION_API_KEY" \ -H "Content-Type: application/json" \ -d '{"message": "How did my long run this week compare to last week?"}' \ "https://api.transition.fun/api/v1/coach/chat" Example questions: "What's my weekly mileage trend over the last month?" "How is my cycling FTP progressing?" "Am I running more or less than usual this week?" "What was my fastest 5K effort recently?" "Should I rest or train today based on my recent activity?"
Retrieve scheduled workouts for a date range. curl -H "X-API-Key: $TRANSITION_API_KEY" \ "https://api.transition.fun/api/v1/workouts?start=2026-02-09&end=2026-02-15" Parameters: start — Start date (YYYY-MM-DD, required) end — End date (YYYY-MM-DD, required) Maximum range between start and end is 90 days.
Get CTL (fitness), ATL (fatigue), and TSB (form) calculated from your Strava activities. curl -H "X-API-Key: $TRANSITION_API_KEY" \ "https://api.transition.fun/api/v1/performance/pmc"
Get FTP, threshold paces, heart rate zones, and other metrics derived from your Strava data. curl -H "X-API-Key: $TRANSITION_API_KEY" \ "https://api.transition.fun/api/v1/performance/stats"
curl -H "X-API-Key: $TRANSITION_API_KEY" \ "https://api.transition.fun/api/v1/profile"
curl -H "X-API-Key: $TRANSITION_API_KEY" \ "https://api.transition.fun/api/v1/coach/history"
TierRead EndpointsAI EndpointsFree100/day3/dayPaid10,000/day100/day
Use coach chat as the primary interface. It has full context on the user's Strava activities, training load, and performance — just ask natural questions. Check fatigue before recommending hard workouts. Call GET /api/v1/performance/pmc and look at TSB. If TSB is below -20, the athlete is fatigued. Use the free WOD endpoint for quick workouts. No auth needed — great for users who just want a workout suggestion. Date format is always YYYY-MM-DD for all date parameters.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
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