continuous-learning

name	continuous-learning
description	Automatically extract reusable patterns from sessions and save them as learned skills for future use.

Continuous Learning Skill

Automatically evaluates sessions to extract reusable patterns that can be saved as learned skills.

How It Works

This skill evaluates sessions to:

1. Session Evaluation: Checks if session has enough messages (default: 10+)
2. Pattern Detection: Identifies extractable patterns from the session
3. Skill Extraction: Saves useful patterns to learned skills

Pattern Types

Pattern	Description
error_resolution	How specific errors were resolved
user_corrections	Patterns from user corrections
workarounds	Solutions to framework/library quirks
debugging_techniques	Effective debugging approaches
project_specific	Project-specific conventions

Configuration

{
  "min_session_length": 10,
  "extraction_threshold": "medium",
  "auto_approve": false,
  "patterns_to_detect": [
    "error_resolution",
    "user_corrections",
    "workarounds",
    "debugging_techniques",
    "project_specific"
  ],
  "ignore_patterns": [
    "simple_typos",
    "one_time_fixes",
    "external_api_issues"
  ]
}

What Gets Extracted

Good candidates for learning:

• Error patterns that took multiple attempts to solve
• User corrections that improved output
• Workarounds for specific libraries/frameworks
• Debugging techniques that worked

Filtered out:

• Simple typo fixes
• One-time issues (API outages, etc.)
• External factors beyond control

Manual Extraction

Use /learn command to manually extract patterns mid-session:

/learn "Discovered that Redis requires specific timeout handling for long-running searches"

Best Practices

1. Quality over quantity - Only extract genuinely reusable patterns
2. Be specific - Include context about when the pattern applies
3. Update regularly - Review and prune learned skills periodically
4. Share patterns - Export useful patterns for team use