Where is the behavior data stored?

Data is stored in a local SQLite database. The default location is app.db, but this can be customized using the DATABASE_URL environment variable.

What is the behavior-log skill for Claude Code?

It is a specialized tool that allows Claude to interact with a local database to record, categorize, and retrieve behavioral data, often used for habit tracking and productivity monitoring.

Is the behavior-log skill suitable for developers?

Yes, it is specifically designed for developers using CLI agents who want to automate the tracking of their work habits and focus levels.

Does this skill require a Pavlok device?

While it includes specific support for Pavlok stimulus logs (like zaps or beeps), it can be used independently to track any 'good' or 'bad' behaviors with text-based coach comments.

How can I view my behavior history?

You can use the 'read' mode within the skill to fetch records from today or a specified number of previous days.

Behavioral Habit Tracker

Name: Behavioral Habit Tracker
Author: motoya0118

bymotoya0118

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Productivity & Workflow

Records and monitors behavioral habits in a local database with support for Pavlok haptic feedback integration.

About

The behavior-log skill enables Claude to manage a persistent record of user actions, classifying them as 'good' or 'bad' to facilitate habit formation and productivity tracking. Designed for use with the Pavlok CLI agent, it allows the AI to store stimulus metadata—such as haptic zaps or beeps—alongside coach comments and timestamps in a local SQLite database. This tool is ideal for developers or users conducting self-experiments in behavioral modification, providing a structured way to analyze focus and performance trends over time.

Key Features

Retrieve historical logs filtered by specific day ranges
66 GitHub stars
Add custom coach comments to provide context for specific entries
Flexible input handling including command-line arguments and stdin
Attach Pavlok API stimulus JSON to behavior records for haptic tracking
Log 'good' and 'bad' behavior entries to a local SQLite database

Use Cases

Recording the results of haptic-based habit reinforcement experiments
Generating behavioral history reports for personal coaching and analysis
Tracking focus and productivity habits during deep work sessions

About

Key Features

Retrieve historical logs filtered by specific day ranges
66 GitHub stars
Add custom coach comments to provide context for specific entries
Flexible input handling including command-line arguments and stdin
Attach Pavlok API stimulus JSON to behavior records for haptic tracking
Log 'good' and 'bad' behavior entries to a local SQLite database

Use Cases

Recording the results of haptic-based habit reinforcement experiments
Generating behavioral history reports for personal coaching and analysis
Tracking focus and productivity habits during deep work sessions