Evidence-based AI coach for endurance training. Protocol-driven. Deterministic guidance for any LLM, with Intervals.icu integration.
TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.
The open-source European alternative to TrainingPeaks. Self-hostable endurance training platform. Your data stays yours.
🏋️♂️ Connect TrainingPeaks to AI assistants with ease. Query workouts, analyze data, and track fitness trends without API approval hassles.
Este repositorio recoge el código para el proyecto Trail Analytics: Exploración visual y modelado predictivo de carreras por montaña.
Interpreting wearable fitness data through a physiology lens: HRV, VO2 max estimation, sleep tracking accuracy, training load metrics, and device validation studies.
Evidence-based Claude Code skill: Garmin FR570 → 4-tier daily training decision + 8-KPI weekly fat-loss review. 206 citations, deterministic decision tree, anti-overreach red lines.
Curated research on training periodization: linear, undulating, block, conjugate, and polarized models. Tapering science, training load monitoring, and individualization evidence.
Daily Coros Training Hub briefing as JSON — readiness, HRV, training load, activities, plan
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