- description
- Automatically record and analyze user behavior patterns from conversations
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)
