Personal Sleep for Openclaw

An intelligent sleep coaching skill that tracks rest patterns and provides personalized hygiene advice to improve your recovery.

gekacross
v1.0.0
Feb 18, 2026
0
1.8k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install personal-sleep

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install personal-sleep using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Personal Sleep?

Personal Sleep is a specialized coaching skill designed to act as a dedicated sleep analyst within your AI environment. By integrating with Openclaw Skills, it helps users monitor sleep schedules, log rest quality, and identify behavioral patterns that affect recovery. The skill maintains a persistent record of sleep data, allowing it to provide tailored recommendations for better sleep hygiene, such as managing caffeine intake, screen time, and bedroom environment.

Unlike generic trackers, this skill focuses on the qualitative and quantitative aspects of rest, offering a supportive and non-judgmental approach to habit formation. It bridges the gap between raw data and actionable insights by correlating your daily activities with your nightly rest cycles.

Personal Sleep Use Cases

  • Monitoring daily sleep and wake-up times to identify consistency issues.
  • Logging sleep quality scores to correlate restfulness with external factors like caffeine or exercise.
  • Receiving personalized advice for insomnia, fatigue, or general sleep hygiene improvement.
  • Tracking the impact of afternoon naps on nighttime sleep cycles.
  • Managing a target sleep schedule and tracking deviations over time.

How Personal Sleep Works

  1. The agent triggers the skill when the user discusses sleep-related topics or enters the dedicated Sleep chat topic.
  2. It retrieves existing logs, goals, and patterns from the persistent knowledge/personal/sleep.md file.
  3. Upon receiving new sleep data (e.g., "went to bed at 11 PM, woke up at 7 AM"), the agent updates the markdown log table.
  4. The skill analyzes the historical data to calculate average duration and identify trends or correlations with past behavior.
  5. It provides supportive feedback and actionable hygiene tips based on the current data and identified deviations from target goals.

Personal Sleep Setup

To enable this skill within your environment, ensure the following directory and file structure exists to store your persistent logs:

mkdir -p knowledge/personal/
touch knowledge/personal/sleep.md

Once the file is created, the Openclaw Skills agent will automatically begin reading from and writing to this location whenever sleep topics are discussed.

Personal Sleep Data Schema & Taxonomy

The skill organizes data in knowledge/personal/sleep.md using a structured Markdown format for easy readability and manual editing if necessary:

Section Description
Current Schedule Defines target bedtimes, wake times, and average duration goals.
Sleep Log A Markdown table containing Date, Bedtime, Wake time, Hours, Quality (1-10), and Notes.
Observations A list of qualitative insights, identified patterns, and behavioral correlations.

Example entry format: | 2026-02-17 | 01:30 | 09:00 | 7.5 | 7/10 | normal |

Personal Sleep Advanced Features

  • Pattern Analysis: Automatically calculates trends and identifies your best and worst rest days based on logged quality.
  • Correlation Tracking: Links sleep quality to previous activities like late-night caffeine or intense workouts stored in chat history.
  • Goal Deviation Tracking: Measures the gap between your target schedule and actual sleep performance to suggest gradual adjustments.
  • Multi-Factor Logging: Supports tracking of naps, screen time impact, and room temperature factors within the notes taxonomy.

SKILL.md


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