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BytesAgain β€Ί Skills β€Ί Pattern Miner
πŸ¦€ ClawHub

Pattern Miner

by @harrylabsj

Automatically detects repeated code and command patterns in Python/Shell, generating reusable Jinja2 templates and shell automation scripts via CLI.

Versionv2.0.1
Downloads756
#coding#writing#legal#automation
TERMINAL
clawhub install pattern-miner

πŸ“– About This Skill

Pattern Miner

Discover patterns in your own data files with local analysis.

Overview

Pattern Miner helps you identify recurring patterns, associations, and anomalies in your own data files. All processing happens locally on your machine.

Features

  • Pattern Recognition: Identify recurring themes in your data
  • Association Discovery: Find items that frequently occur together
  • Anomaly Detection: Spot unusual patterns that deviate from norms
  • Local Processing: All analysis runs on your device, no data upload

    • When to Use

  • Analyzing your own structured data files (CSV, JSON)
  • Finding patterns in task lists or notes
  • Identifying trends in personal datasets
  • Discovering associations in your own records

    • Usage

    Basic Analysis

    # Analyze a JSON file
python3 scripts/analyze.py ~/data/my-tasks.json

    Requirements

    pip install numpy scikit-learn pandas

    Scripts

  • scripts/analyze.py - Analyze JSON files for patterns

    • Configuration

    Create a config file at ~/.pattern-miner/config.json:

    {
  "minConfidence": 0.6,
  "minFrequency": 3,
  "analysisTypes": ["cluster", "association"]
}

    Input Formats

    Supported file formats:

  • JSON (array of objects)
  • CSV (with headers)
  • JSONL (one JSON object per line)

    • Output

    Analysis results include:

  • Discovered patterns with confidence scores
  • Association rules with support metrics
  • Anomaly flags for unusual items
  • Exportable reports (JSON, CSV)

    • Privacy & Security

    βœ… Your data stays on your device

  • No external API calls
  • No data uploaded to cloud services
  • No access to system files or shell history
  • Only reads files you explicitly specify

    • Technical Information

    | Attribute | Value | |-----------|-------| | Skill ID | pattern-miner | | Version | 2.0.1 | | Author | harrylabsj | | License | MIT-0 |

    Requirements

  • Python 3.8+
  • numpy, scikit-learn, pandas (for analysis)

    • Limitations

  • Only analyzes files you explicitly provide
  • Does not access system logs or shell history
  • Does not read OpenClaw session data
  • Requires structured data files (JSON/CSV)

    • ⚑ When to Use

    TriggerAction
    - Finding patterns in task lists or notes
    - Identifying trends in personal datasets
    - Discovering associations in your own records

    πŸ’‘ Examples

    Basic Analysis

    # Analyze a JSON file
python3 scripts/analyze.py ~/data/my-tasks.json

    Requirements

    pip install numpy scikit-learn pandas

    βš™οΈ Configuration

    Create a config file at ~/.pattern-miner/config.json:

    {
  "minConfidence": 0.6,
  "minFrequency": 3,
  "analysisTypes": ["cluster", "association"]
}