Training Domain Knowledge
CommunityAuthoritative exercise science for AI coaching.
Education & Research#program-design#ai-coach#periodization#autoregulation#exercise-science#movement-patterns#training-domain
Authorjperezdelreal
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides a centralized, evidence-based exercise science reference to empower AI coaches with accurate programming, movement-pattern logic, and swap decisions.
Core Features & Use Cases
- Reference authority for exercise science, movement patterns, periodization, and autoregulation to guide AI coaching prompts.
- Program-design guidance across strength, hypertrophy, calisthenics, and mobility contexts to support robust coaching workflows.
- Swap & validation logic for exercise substitutions based on movement patterns, equipment, and user goals.
Quick Start
Design a 4-week beginner hypertrophy plan using this knowledge domain.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Training Domain Knowledge Download link: https://github.com/jperezdelreal/GymBro/archive/main.zip#training-domain-knowledge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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