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.

Own your training data! Open-source, self-hosted training log & analytics. Calendar, fitness/fatigue/form, dashboards, zones, peak curves & intervals.icu sync.

🏋️♂️ Connect TrainingPeaks to AI assistants with ease. Query workouts, analyze data, and track fitness trends without API approval hassles.

Local MCP server exposing your Intervals.icu training data to AI clients (Claude, etc.) — with server-side PMC / cardiac-decoupling math and a Stryd LBSS power extension.

Daily training-readiness score from Intervals.icu wellness data, pushed to your calendar.

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.

Interpreting wearable fitness data through a physiology lens: HRV, VO2 max estimation, sleep tracking accuracy, training load metrics, and device validation studies.

Curated research on training periodization: linear, undulating, block, conjugate, and polarized models. Tapering science, training load monitoring, and individualization evidence.

Este repositorio recoge el código para el proyecto Trail Analytics: Exploración visual y modelado predictivo de carreras por montaña.

Self-hosted cycling coach with a local LLM that never makes up a number — training load, overtraining detection & grounded AI advice.

Daily Coros Training Hub briefing as JSON — readiness, HRV, training load, activities, plan