Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A personal sleep coach that logs bedtime, wake time, sleep quality, and naps into a persistent file. Tracks patterns over time and looks for correlations between sleep quality and daily habits like exercise or caffeine. Gives advice on sleep hygiene without judgment.
Advice is grounded in your own logged history rather than generic recommendations, so patterns like "bad sleep always follows late coffee" are surfaced from your actual data.
When to use it
- Logging last night's sleep with a one-line note
- Checking if late workouts are affecting sleep quality
- Setting a target sleep schedule and tracking deviations
- Recording a nap and seeing how it impacts overnight sleep
- Getting a weekly summary of average sleep duration and trends
Example Workflow
Here's how your AI assistant might use this skill in practice.
User says: went to bed at 2, woke up at 9, felt pretty good
- 1Read knowledge/personal/sleep.md to load existing log and current target schedule
- 2Parse bedtime 02:00, wake time 09:00, duration 7 hours, quality noted as good
- 3Append new row to the sleep log table with today's date
- 4Check for correlations with recent entries (e.g. deviation from target schedule)
- 5Update observations section if a new pattern is detected
Logged: 02:00 → 09:00, 7h, quality ~7/10. You went to bed 2 hours later than your target. Running average this week is 6.8h.