An automated macOS digital life logger that generates insightful behavior reports and productivity metrics with zero configuration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install screen-life
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install screen-life 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 Screen Life?
Screen Life is a sophisticated background monitoring tool designed for macOS users who want to gain deep insights into their daily digital habits. As a specialized entry in the Openclaw Skills library, it operates silently to track application usage, browser activity, and document changes, providing a comprehensive view of your workflow. The skill is built with a privacy-first approach, ensuring all captured data remains strictly local on your machine while offering optional AI-driven analysis to suggest actionable productivity improvements.
By leveraging system-level APIs and local logs, Screen Life synthesizes disparate data points into a readable daily report. It helps developers and knowledge workers understand where their time goes, identifying focus periods and potential distractions without requiring manual time-tracking entries.
Screen Life Use Cases
- Tracking daily time allocation across development environments like VS Code and communication tools.
- Analyzing web browsing patterns and frequently searched keywords to optimize research workflows.
- Monitoring Obsidian note-taking activity to maintain consistency in personal knowledge management.
- Generating automated productivity summaries for weekly reviews or team status updates via Feishu.
- Utilizing AI insights within the Openclaw Skills ecosystem to identify peak focus hours and receive workflow suggestions.
How Screen Life Works
- The user executes the installation script which sets up a background daemon on macOS.
- The daemon utilizes NSWorkspace to monitor active application windows and calculate usage duration in real-time.
- The skill periodically samples local data sources, including browser history and file change metadata from tools like Obsidian and Cursor.
- All captured events are aggregated into daily JSONL log files stored in a local hidden directory.
- When the user requests a report, the handler processes the logs and formats the data into a visual summary.
- If LLM environment variables are present, the tool sends a summary to the AI to generate behavioral insights and focus scores.
Screen Life Setup
To get started with this skill, ensure you are running macOS and have Python 3 installed. Follow these steps:
# Navigate to the skill directory
cd /path/to/screen-life
# Run the one-click installation to start the background daemon
bash install.sh
# Generate your first daily report with AI insights
python3 handler.py
# To view a report without AI analysis
python3 handler.py --no-llm
Screen Life Data Schema & Taxonomy
Screen Life organizes its data locally to ensure privacy. The structure is as follows:
| File/Folder | Description |
|---|---|
~/.orbitos-monitor/logs/ |
Contains daily raw logs in JSONL format (e.g., 2026-04-11.jsonl) |
~/.orbitos-monitor/daemon.pid |
Stores the Process ID of the active monitoring background task |
~/.orbitos-monitor/daemon.log |
Standard output and error logs for the background service |
Data captured includes application names, usage duration, browser keywords, note modification counts, and AI interaction summaries.
Screen Life Advanced Features
- Seamless AI integration via automatic environment variable injection provided by Openclaw Skills.
- Support for multiple output formats including terminal-friendly text and machine-readable JSON.
- Automated push notifications to Feishu/Lark for integrated team communication.
- Historical data analysis with the ability to query specific dates or generate weekly summaries.
- Privacy-centric design with no external data transmission, keeping all sensitive activity logs on local storage.
SKILL.md
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