activitywatch-integration

What problem does it solve?

ActivityWatch generates valuable personal activity data, but accessing, analyzing, and integrating this data often requires technical expertise and manual effort. This Skill simplifies the entire process, empowering you to leverage your time-tracking data for deep insights and seamless automation without getting bogged down in complex APIs or scripting. It transforms raw data into actionable intelligence and automated workflows, allowing you to focus on your work, not on tracking it.

Core Features & Use Cases

• Automated Data Analysis & Reporting: Effortlessly query and summarize your activity data to generate daily or weekly reports, track productivity trends, and gain insights into your work patterns.
• Seamless External Integrations: Connect your ActivityWatch data with popular tools like Slack for daily summaries, Grafana for advanced dashboards, Google Sheets for custom tracking, or any other external service via custom scripts.
• Custom Watcher & Automation Development: Provides a comprehensive guide and examples for building personalized activity watchers and automation flows using aw-client libraries, tailoring ActivityWatch to your unique needs.
• Use Case: Imagine automatically receiving a Slack message each evening summarizing your top 3 most used applications and total active time. This Skill provides the tools and examples to set up such automations, saving you time and giving you instant visibility into your productivity.

Quick Start

Generate a Python script to get today's top 5 most used applications and their total durations from ActivityWatch data, and output them to the console.