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