habit-tracker

To track daily habits and generate streak statistics, you can record completions via simple commands to build local datasets. The skill processes this data to produce weekly or monthly JSON reports showing your progress trends.

You can analyze habit correlations using Python with pandas. The skill processes your recorded daily habit data to identify and generate insights on how different routines influence each other over time.

Yes, you need Python with pandas and requests installed. These dependencies are required to store your daily habit completions locally and process the data to generate JSON reports.

Maintaining accountability for morning routines and exercise plans is achieved through automated daily check-ins and progress visualization. The skill generates weekly or monthly reports showing your streaks and trends.

To set up an automated check-in for a 7 am morning meditation habit, you can ask the skill to create a new habit for that specific time. It then records your daily completions via simple commands.

Local JSON reports for habit tracking limit real-time visualization and remote access across devices. The skill relies on local storage and Python processing, meaning automated daily reminders are not inherently supported without external triggers.