🏆 Sports & Performance · Training Design

Monitor training load without gadget worship

Simple consistent measures — sRPE, duration, wellness — trended per athlete over time.

foundation~25 minCoachesS&C SpecialistsAthletic Trainers

Steps

1Collect session RPE × minutes within 30min post-session, consistently
2Compute acute (7d) vs chronic (28d) ratio; flag spikes above agreed band
3Add one subjective wellness signal daily (sleep/soreness/mood scale)
4Trend INDIVIDUALLY; population averages hide the athlete at risk
5Act on flags via conversation first, dashboards second
6Review monitoring usefulness each season; delete vanity metrics

Common Pitfalls

▲ACWR treated as physics instead of a rough flag
▲Data collected but never changing tomorrow's session

Commands

Install with skills CLI

$ npx skills add aniruddhaadak80/skills --skill training-design-load-monitoring-practical

Install globally

$ npx skills add aniruddhaadak80/skills --skill training-design-load-monitoring-practical -g

Tags

#load-management#monitoring#safety#sports-performance#training-design

Install this skill

$ npx skills add aniruddhaadak80/skills --skill training-design-load-monitoring-practical -a opencode

SKILL.md

# Monitor training load without gadget worship

> Simple consistent measures — sRPE, duration, wellness — trended per athlete over time.

## When to Use This Skill

Simple consistent measures — sRPE, duration, wellness — trended per athlete over time.

## Steps

1. Collect session RPE × minutes within 30min post-session, consistently
2. Compute acute (7d) vs chronic (28d) ratio; flag spikes above agreed band
3. Add one subjective wellness signal daily (sleep/soreness/mood scale)
4. Trend INDIVIDUALLY; population averages hide the athlete at risk
5. Act on flags via conversation first, dashboards second
6. Review monitoring usefulness each season; delete vanity metrics

## Common Pitfalls

- ACWR treated as physics instead of a rough flag
- Data collected but never changing tomorrow's session

View source on GitHub ↗

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