Sleep
Auto-learns your sleep patterns. Absorbs data from wearables, conversations, and observations.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ivangdavila/sleepAuto-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.mdfor data integrations,patterns.mdfor 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.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ivangdavila-sleep": {
"enabled": true,
"auto_update": true
}
}
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