Evaluates athlete health signals and training load to provide conservative pre-run activity recommendations.
The Readiness Check skill acts as an intelligent safety gate for endurance training applications, analyzing training load, recovery metrics, and self-reported user data to determine if an athlete should proceed, modify, or skip a planned workout. By synthesizing complex signals like monotony caps, sleep quality, and physical soreness, it helps prevent overtraining and injury while ensuring that recommendations prioritize long-term health and safety. It is designed to be integrated into pre-run UI flows or used as a nightly background process to help athletes make data-driven decisions about their training.
Key Features
01Multi-signal classification for workout readiness (Proceed/Modify/Skip)
02Integration-ready schemas for pre-run UI modals and API routes
03Safety-first logic for pain and injury keyword detection
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05Training load and monotony cap evaluation to prevent overtraining
06Automated telemetry for safety flag and decision monitoring
Use Cases
01Implementing a mandatory safety gate to prevent injury in fitness coaching apps
02Automatically modifying training plans when poor sleep or fatigue is reported
03Assessing athlete recovery levels before high-intensity workouts
