Study Time Tracker

The Problem

Long computer sessions make it hard to know how much time actually went into study, programming, and leisure. Task lists capture explicit activities, but miss app switching, short study bursts, and fragmented entertainment. Manual review is easy to botch, especially when important apps are overlooked or different reporting periods use inconsistent rules.

How the Skill Works

Study Time Tracker turns computer app usage into analyzable time data. It monitors local app usage, groups study, programming, and leisure contexts, and produces reports by day, week, or month. A typical workflow is to trigger phrases such as track study time, generate a time report, or analyze usage time. The tool then aggregates app duration, share, and schedule distribution. If a saved file is needed, store_dir can point to the report directory; by default it does not write files. Its value is converting scattered app behavior into a comparable, reviewable time view.

Boundaries

This skill is best for personal PC usage analysis, not enterprise auditing or cross-device tracking. Accuracy depends on app recognition, context classification, and local record completeness. If app names are ambiguous, or one window serves both study and leisure, classification may be coarse. Reports emphasize time share, so they do not replace task completion, reading depth, code quality, or other outcome metrics.