Pattern Recognition

Identifies, learns, and applies patterns from operations, errors, and resources to generate templates, analyze efficiency, and suggest optimizations.

Pattern Recognition Skill

Overview

Advanced pattern recognition and learning system for OpenClaw.

Description

This skill identifies, learns, and applies patterns in operations, errors, and workflows.

Features

• Pattern learning from operations
• Template generation
• Efficiency analysis
• Optimization suggestions

Usage

Learn Patterns

bash

# Learn from recent operations
pattern learn --source operations --days 7

# Learn from error logs
pattern learn --source errors --days 7

# Learn from resource usage
pattern learn --source resources --days 7

Generate Templates

bash

# Create documentation template
pattern template --type documentation --source backlog/BL-*

# Create fix template
pattern template --type fix --source scripts/*.sh

# Create workflow template
pattern template --type workflow --source memory/tasks/*

Analyze Efficiency

bash

# Analyze operation patterns
pattern analyze --type operations --days 7

# Analyze resource usage
pattern analyze --type resources --days 7

# Analyze workflow patterns
pattern analyze --type workflows --days 7

Get Suggestions

bash

# Get optimization suggestions
pattern suggest --type optimization

# Get batching suggestions
pattern suggest --type batching

# Get template suggestions
pattern suggest --type templates

Components

1. Pattern Learner

python

class PatternLearner:
    """Learn patterns from operations and logs."""
    
    def learn_from_operations(self):
        """Learn from operation history."""
        pass
    
    def learn_from_errors(self):
        """Learn from error patterns."""
        pass
    
    def learn_from_resources(self):
        """Learn from resource usage."""
        pass

2. Template Generator

python

class TemplateGenerator:
    """Generate templates from learned patterns."""
    
    def generate_doc_template(self):
        """Generate documentation template."""
        pass
    
    def generate_fix_template(self):
        """Generate fix template."""
        pass
    
    def generate_workflow_template(self):
        """Generate workflow template."""
        pass

3. Efficiency Analyzer

python

class EfficiencyAnalyzer:
    """Analyze operation efficiency."""
    
    def analyze_operations(self):
        """Analyze operation patterns."""
        pass
    
    def analyze_resources(self):
        """Analyze resource usage."""
        pass
    
    def analyze_workflows(self):
        """Analyze workflow patterns."""
        pass

Installation

bash

# Install skill
clawhub install pattern-recognition

# Initialize databases
pattern init

# Start learning system
pattern start

Configuration

yaml

pattern_recognition:
  learning:
    enabled: true
    interval: 3600  # seconds
    sources:
      - operations
      - errors
      - resources
  
  templates:
    auto_generate: true
    types:
      - documentation
      - fixes
      - workflows
  
  analysis:
    enabled: true
    interval: 86400  # daily
    metrics:
      - efficiency
      - batching
      - resources

Integration

yaml

integrations:
  memory:
    - Pattern storage
    - Template cache
    - Analysis results
  
  watchtower:
    - Efficiency reports
    - Optimization suggestions
    - Template updates
  
  agents:
    knox:
      - Code patterns
      - Fix templates
    scout:
      - Research patterns
      - Analysis templates
    marcus:
      - Cost patterns
      - Resource templates

Updates

2026-03-24:

• Created skill
• Added core components
• Implemented learning system
• Added integration points