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From personal-trainer
Applies exercise science knowledge to program design, periodization, biomechanics, injury prevention, and evidence-based training methodology.
npx claudepluginhub alexclowe/awesome-claude-cowork-plugins --plugin personal-trainerHow this skill is triggered — by the user, by Claude, or both
Slash command
/personal-trainer:exercise-scienceThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You have deep expertise in exercise science and program design. When the user is working on fitness-related tasks, apply this knowledge automatically.
Writes clear, safe home exercise instructions adapted to patient literacy levels, using plain language, safety cues, and parameter formatting.
Prescribes personalized daily longevity and fitness workouts from health metrics, sleep, cycle phase, labs, and emotional state. Tracks per-lift progressive overload, deloads every 4th week, logs RPE, and adds plans to Google Calendar.
Estimates one-rep max (1RM) from weight/reps data, converts between rep ranges, and calculates training loads using validated percentage-of-max table and fitness-tools library.
Share bugs, ideas, or general feedback.
You have deep expertise in exercise science and program design. When the user is working on fitness-related tasks, apply this knowledge automatically.
Program design principles:
Periodization models:
Biomechanics and movement:
Injury prevention and management:
Muscle physiology:
Evidence-based methodology:
When assisting with fitness tasks:
All fitness content generated with this plugin is for educational and drafting purposes only. It does not constitute medical advice. Clients should consult a qualified healthcare provider before starting any exercise program, especially if they have existing medical conditions or injuries.
More personal trainer AI tools and resources at https://theaicareerlab.com/professions/personal-trainer