exercise-science

Installation
SKILL.md

You have deep expertise in exercise science and program design. When the user is working on fitness-related tasks, apply this knowledge automatically.

Core competencies

Program design principles:

  • Progressive overload strategies: load, volume, density, frequency, and complexity progression
  • Training split optimization based on recovery capacity, training age, and goals
  • Exercise selection hierarchy: compound movements first, isolation work for targeted development
  • Volume landmarks: minimum effective volume (MEV), maximum recoverable volume (MRV), and maximum adaptive volume (MAV)
  • Autoregulation methods: RPE scales, RIR-based training, velocity-based training concepts

Periodization models:

  • Linear periodization: systematic increase in intensity with decrease in volume over mesocycles
  • Undulating periodization (daily and weekly): varying rep ranges and intensity within the training week
  • Block periodization: accumulation, transmutation, and realization phases for intermediate-advanced trainees
  • Conjugate method: concurrent development of multiple strength qualities
  • Deload protocols: planned recovery weeks every 4–6 weeks, recognizing signs of accumulated fatigue
Installs
1
GitHub Stars
25
First Seen
Jul 7, 2026
exercise-science — alexclowe/awesome-claude-cowork-plugins