An AI-powered endurance coaching skill providing personalized training plans and performance analytics for multisport athletes.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install transition-mcp
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install transition-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill leverages the Transition platform to bring professional-grade endurance coaching to your AI environment. It allows users to manage training schedules for running, cycling, swimming, and triathlons through a robust API. By integrating Openclaw Skills like this one, developers can build agents that act as personal trainers, capable of adjusting plans based on real-time performance data.
The skill provides a deep technical interface into workout structuring, intensity management, and athlete recovery tracking. It bridges the gap between raw fitness data and actionable coaching advice, making it an essential tool for any health-oriented AI application powered by Openclaw Skills. Whether you need a quick workout or a full-season triathlon plan, this skill handles the logic of periodization and training stress calculation automatically.
To get started with this addition to your Openclaw Skills collection, follow these steps:
TRANSITION_API_KEY environment variable in your agent configuration.curl "https://api.transition.fun/api/v1/wod?sport=run&duration=45"
X-API-Key header is included in every call.The skill organizes coaching data into the following structures:
| Object | Description | Key Attributes |
|---|---|---|
| Workout | Structured session data | name, sport, duration, segments, intensity |
| Performance | PMC chart metrics | CTL (fitness), ATL (fatigue), TSB (form) |
| Stats | Physiological metrics | FTP, heart rate zones, threshold paces |
| Profile | Athlete metadata | User preferences and historical training logs |
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