| name | Sleep |
| description | Auto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations. |
| version | 1.0.1 |
| changelog | Preferences 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.
