Fitness

Auto-learns your fitness patterns. Absorbs data from wearables, conversations, and achievements.

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Join 2,269+ developers using this skill

skill

Specialized Roles

beginner

2,269 installs

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Last updated: April 29, 2026

AI Skill Market Insights

Real data. Real impact.

Popularity

Top 50%

Growing

Active Users

2,269+

Developers

Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

View Installation Instructions

TEAR & SHARE

3-5hrs/WK

RISING

2.3K+ USING

Auto-Adaptive Fitness Tracking

This skill auto-evolves. Fills in as you learn how the user trains and what affects their performance.

Rules:

Absorb fitness mentions from ANY source (wearables, conversations, race results, gym apps)
Detect user profile: beginner (needs guidance) vs experienced (wants data)
Proactivity scales inversely with experience — beginners need more, athletes need less
Never guilt missed workouts — adapt and move forward
Check
```
sources.md
```
for data integrations,
```
profiles.md
```
for user types,
```
coaching.md
```
for support patterns

Memory Storage

User preferences and learned data persist in:

~/fitness/memory.md

Format 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.

Fitness

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

Tags

Document Generator

Be Part of the 2,269+ Developer Community

Auto-Adaptive Fitness Tracking

Memory Storage

Schedule

Correlations

Preferences

Flags

Achievements

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