exercise-science

Evidence-graded strength-training course curated from 316 public YouTube demos — 11 chapters, 44 units, 31 hours. Every link verified, every movement category checked against PubMed: only 2 of 65 evidence claims reach "strong". Course content in Traditional Chinese.

A Python tool that estimates calories burned from .fit files using the Keytel formula. Features batch processing of fitness files and an interactive calculator that can solve for calories, heart rate, weight, or age.

Open-source AI fitness coaching skill for Claude and Codex: strength training, cardio, fat loss, nutrition and meal prep, with independent AI review and a portable Training Record.

One workflow for sport-science writing: topic selection, analysis and figures, human-voice writing checks, and live Zotero citations in Word (zh / en)

An installable, evidence-aware lifting tracker with a public scientific overview and an authenticated personal training ledger.

Topic selection for sport and exercise science students: evidence map from your own records, design rules, exact sample size and a visible feasibility rubric (zh / en)

Publication-grade figures, three-line tables and Results documents for sport, exercise and health science, in Chinese or English (analysis from a design spec, 26 more figure types)

安全跑者的身体底盘知识库：用费曼学习法沉淀跑步安全、力量重建、伤病复盘、ACE-CPT 学习与长期训练系统。

Created by Gavin and Brandon Dennis. A basic training log web application for hypertrophy and strength workouts.

MATLAB code to compare EMG activation of biceps brachii and brachialis during biceps curl vs hammer curl, normalized to MVC.

A source-verified research base on training for fat loss + cardiovascular health that generates an exercise library and a Push/Pull/Legs + cardio program - every prescription traced to a peer-reviewed study or position stand.

儿童青少年身体活动与运动健康研究的 Codex Skill：试验设计、公共数据审计、系统综述与 Meta 分析、SCI 投稿准备。Youth exercise and health research workflow.

Athlon Eval — LLM evaluation benchmark for fitness, sports, and fitness-industry operational tasks. Pre-implementation research phase.

AI-generated summaries + full transcripts of the Huberman Lab Guest Series with Dr. Andy Galpin — fitness, strength, endurance, recovery & nutrition.

Evidence-aware automation for exercise science, training & nutrition podcasts — multi-source transcripts, Human Review, and structured knowledge notes.

Exercise biomechanics you can see: force curves and muscle activation for 34 exercises, built on published research. For coaches, students and lifters.

🛠️ Official Profile of the Curriculum Architect. Engineering institutional agility for AWC and UArizona Yuma. Grounded in PAGA 2018 (2nd Ed) and the Mission Loop (Pattern/Rule/Solve). This hub serves as the Single Source of Truth (SSoT) for Exercise Science course infrastructure, AI-driven workflows, and OER standards.