← ClaudeAtlas

endurance-domain-referencelisted

The endurance-physiology knowledge pack for this repo — load it whenever you meet an endurance metric, term, or threshold and need to know what it MEANS, HOW it is computed here, and WHAT VALUES are normal. Triggers: CTL / ATL / TSB (fitness / fatigue / form / "training stress balance"), ESS / TSS ("external stress score"), EF / efficiency factor, aerobic decoupling / durability / DFA-α1 / "alpha1", FTP / functional threshold power, CSS / critical swim speed / "400/200 test", threshold pace, LTHR, zones / Z1-Z6 / TID / "time in zone" / "intensity distribution" / polarized / pyramidal, HRV / rMSSD / RHR / resting heart rate, monotony / strain / Foster, taper / peaking / periodisation / "two stacked peaks" / A-race / B-race, carb fuelling / "g/h" / glucose:fructose / gut training, dose-cycle / GLP-1 / days_since_dose / in_gi_trough / gi_trough, wellbeing / RED-S / under-fuelling / "race weight", W/kg, VO2max, ACWR. Also load it when interpreting a `readiness` / `weekly` / `deep_dive` / `splits` / insight-engine
maxeskell/personal-training-app · ★ 0 · AI & Automation · score 70
Install: claude install-skill maxeskell/personal-training-app
# Endurance domain reference **Use this when** you hit an endurance term or metric (CTL, EF, decoupling, CSS, TID, taper, dose-cycle, carb g/h…) and need its plain meaning, where the repo computes it, the normal ranges this repo uses, and the honest caveats — or when you are reading/writing `insights/` or `coach/` code and need the physiology. **Don't use this when** you need the *statistical machinery* that proves an n=1 signal is real (effective-N, Fisher-z CIs, Benjamini–Hochberg FDR, walk-forward, permutation nulls) — that lives in `endurance-coach-proof-and-analysis-toolkit`; or the *code contracts* (Provenanced fields, the write gate, data flow) — that lives in `endurance-coach-architecture-contract`; or the *go/no-go campaign* to validate a detector — `endurance-coach-n1-validation-campaign`. --- ## Two domain doctrines that override everything below These are not opinions. They are hard rules the codebase and coach persona are built on. > **1. Priors, not laws — this athlete's n=1 data outranks the textbook.** Everything in > `knowledge/sports-science.md` is a *population* prior (small samples, modest effects, big individual > variation). Individual training response is roughly 50% heritable with 20–45% non-responders, so no > a-priori dose-response model is trustworthy for one person. Where a prior disagrees with THIS athlete's > own pulled data, **the prior yields.** See `knowledge/sports-science.md` header. > **2. Defer to AI Endurance's model — never re-der