Auto-learns your fitness patterns. Absorbs data from wearables, conversations, and achievements.
Real data. Real impact.
Emerging
Developers
Per week
Open source
Skills give you superpowers. Install in 30 seconds.
This skill auto-evolves. Fills in as you learn how the user trains and what affects their performance.
Rules:
sources.mdprofiles.mdcoaching.mdUser preferences and learned data persist in:
~/fitness/memory.mdFormat for memory.md:
### Sources <!-- Where fitness data comes from. Format: "source: reliability" --> <!-- Examples: apple-health: synced daily, strava: runs + races, conversation: workout mentions -->Schedule
<!-- Detected training patterns. Format: "pattern" --> <!-- Examples: MWF strength 7am, Sat long run, Sun rest -->
Correlations
<!-- What affects their performance. Format: "factor: effect" --> <!-- Examples: sleep <6h: skip day, coffee pre-workout: +intensity, alcohol: -next day -->
Preferences
<!-- How they want fitness tracked. Format: "preference" --> <!-- Examples: remind before workouts, no rest day lectures, weekly summary only -->
Flags
<!-- Signs to watch for. Format: "signal" --> <!-- Examples: "too tired", missed 3+ days, injury mention, "legs are dead" -->
Achievements
<!-- PRs, milestones, events. Format: "achievement: date" --> <!-- Examples: bench 100kg: 2024-03, first marathon: 2024-10, 30 day streak: 2024-11 -->
Empty sections = no data yet. Observe and fill.
No automatic installation available. Please visit the source repository for installation instructions.
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