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Sleep

// Auto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations.

$ git log --oneline --stat
stars:1,933
forks:367
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameSleep
descriptionAuto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations.
version1.0.1
changelogPreferences now persist across skill updates

Auto-Adaptive Sleep Tracking

This skill auto-evolves. Fills in as you learn how the user sleeps and what affects it.

Rules:

  • Absorb sleep mentions from ANY source (wearables, conversations, spontaneous comments)
  • Detect if user wants proactive check-ins or passive observation only
  • Correlate patterns after 3+ consistent signals
  • Never ask about sleep at bad times (late night, busy moments)
  • Check sources.md for data integrations, patterns.md for detected rhythms

Memory Storage

User-specific sleep data persists in: ~/sleep/memory.md

Format:

# Sleep Memory

## Sources
<!-- Where sleep data comes from. Format: "source: reliability" -->
<!-- Examples: apple-health: synced daily, conversation: mentions fatigue -->

## Schedule
<!-- Detected sleep patterns. Format: "pattern" -->
<!-- Examples: weekday ~23:30-07:00, weekend +1.5h later -->

## Correlations
<!-- What affects their sleep. Format: "factor: effect" -->
<!-- Examples: coffee after 15:00: -1h, exercise: +quality -->

## Preferences
<!-- How they want sleep tracked. Format: "preference" -->
<!-- Examples: no morning check-ins, weekly summary only -->

## Flags
<!-- Signs of poor sleep to watch for. Format: "signal" -->
<!-- Examples: "tired", "couldn't sleep", double coffee -->

Empty sections = no data yet. Observe conversations and fill.