Generate on-device usage dashboards and summaries from local activity events.
npx skills add https://github.com/ano4l/SiteRent --skill usage-insights-ano4l
Please help me install this Agent Skill. Skill: usage-insights Source: https://github.com/ano4l/SiteRent/tree/main/skills/generators/usage-insights Command: npx skills add https://github.com/ano4l/SiteRent --skill usage-insights-ano4l
Many apps struggle to surface meaningful, private usage insights directly on the user's device without sending data to servers. This Skill provides an on-device analytics solution that keeps data private while delivering actionable dashboards and weekly recaps.
Install the usage-insights framework and initialize the dashboard; then render InsightsDashboardView and point it at your local UsageEvent stream.
High-intent search queries and answers about installing and using this skill.
On-device usage insights are generated by processing local activity events through a SwiftData-based calculation engine. This engine derives totals, top categories, and streaks directly on the device to ensure data privacy without requiring server transmission.
Build a dashboard with weekly and monthly summaries by rendering a UI dashboard view connected to your local activity event stream. The interface includes period pickers for day, week, month, and year selections, alongside sparkline chart support.
Yes, shareable recap cards can be created to highlight weekly or yearly usage summaries. The calculation engine processes local usage events to generate these personalized recaps, which users can then quickly share directly from the application.
On-device analytics fully supports interactive period pickers and sparkline charts within the dashboard rendering. Users can select daily, weekly, monthly, or yearly periods to visualize their usage trends and derived insights locally.
The best way to calculate usage streaks and top categories is using a pure calculation engine applied to a SwiftData model. This engine analyzes your local activity event stream to derive personalized metrics and totals securely on the device.
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