behavior-tracker

Automatically record and analyze user behavior patterns

Features

Proactive Recording - Extract key info after each conversation
Periodic Analysis - Daily/weekly auto analyze behavior patterns
Pattern Recognition - Discover interests, active hours, learning habits
Report Generation - Generate visual reports

Trigger Conditions

Auto call after each important conversation
Cron: Daily 18:00 analysis
User request: "analyze my behavior"

Analysis Dimensions

| Dimension | Description | |-----------|-------------| | topic | Recently discussed tech/projects | | active_hours | High-frequency conversation time periods | | communication_style | Task-based/discussion-based/Q&A | | learning_mode | Theory-oriented/practice-oriented | | project_focus | Long-term projects of interest |

File Structure

behavior-tracker/
├── SKILL.md              # This file
├── scripts/
│   ├── analyzer.py       # Core analysis logic
│   ├── recorder.py       # Manual conversation recorder
│   └── heartbeat_tracker.py  # Lightweight heartbeat tracker
└── references/
    └── .gitkeep

Usage

# Manual analysis run
python3 scripts/analyzer.py

# Record current conversation
python3 scripts/recorder.py --topic "AI Agent" --project "The Machine"

# Run lightweight tracker (for heartbeat)
python3 scripts/heartbeat_tracker.py

Cron Configuration

# Auto analysis daily at 18:00
0 18 * * * python3 ~/.../behavior-tracker/scripts/analyzer.py

Dependencies

Python 3.10+
No external dependencies (pure stdlib)