ActivityWatch Cross-Platform Automated Time Tracker and Productivity Analyzer
SkillWeb & browsingActivityWatch gives your AI a clear record of how your time is actually spent by tracking which applications and websites you use, and when you step away from the keyboard. Once added, your AI can turn that activity data into summaries and answers about your work habits. Everything is recorded on your own computer, so your data never leaves your device.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, make sure ActivityWatch is running on your computer, then ask your AI for a rundown of how you spent your time or which apps took up most of your day.
Then ask your AI: use the ActivityWatch Cross-Platform Automated Time Tracker and Productivity Analyzer skill
What your AI can do with it
- Summarize how much time you spend in each app and website
- Answer questions like where your day actually went
- Identify your most active hours from real usage data
- Tell when you were away from the keyboard and factor that out
- Give you a picture of your activity across Windows, macOS, and Linux
- Keep all tracking data stored locally on your own device
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/activitywatch-automated-time-tracker/SKILL.md and read by ahel’s review.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. It provides detailed productivity analytics without sending data to external servers.
Installation
Requirements and caveats from upstream:
- aw-server (Python) - The current default implementation
- Client libraries: Language-specific libraries like aw-client (Python), aw-client-js, and aw-client-rust that wrap REST endpoints for programmatic access
Basic usage or getting-started notes:
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Installation & Usage
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Downloads are available on the releases page.
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For instructions on how to get started, please see the guide in the documentation.
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Extracted from upstream docs: https://raw.githubusercontent.com/ActivityWatch/activitywatch/HEAD/README.md
Source
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
activitywatch-cross-platform-automated-time-tracker-1hj1la8- Source
- github.com/agentskillexchange/skills