habit-tracker

To track daily habits automatically, this Skill uses a local Python script and JSON data store to log check-ins, calculate streaks, and monitor goal adherence. It handles daily, weekly, or custom-frequency routines directly from your CLI.

Automating habit tracking in Python is best achieved by using a CLI tool with a local JSON data store. This Skill provides commands like create, check, and stats to manage personal productivity and wellness routines without external databases.

To view habit statistics and continuous check-in days, run the stats command in the habit tracker Python script. It reads the local JSON data store to visualize your habit formation curve and quantify your progress over time.

This habit tracker does not require external database dependencies. It operates entirely offline using a local JSON data store managed by a Python script, ensuring your personal goal adherence data remains private and self-contained.

Yes, you can customize the check-in frequency for weekly wellness routines. The Python CLI tool supports creating habits with daily, weekly, or custom-frequency schedules to match your specific personal development goals.

A limitation of using a local JSON file for habit data is that it lacks built-in multi-device syncing and real-time cloud backups. It is designed for single-user local accountability rather than collaborative team tracking.