gh-nbarthel-claudy-plugins-rails-workflow/skills/rails-pattern-recognition/skill.md

name, description, version, priority

name	description	version	priority
rails-pattern-recognition	Adaptive learning system that tracks implementation patterns, success rates, and performance metrics to suggest proven solutions for future tasks.	1.1	5

Rails Pattern Recognition

Adaptive learning system for Rails workflows.

Usage

# Suggest patterns
patterns = invoke_skill("rails-pattern-recognition", mode="suggest", context_tags=["rails", "auth"])

# Update metrics
invoke_skill("rails-pattern-recognition", mode="update", metrics={
  "pattern_used": "Devise Auth",
  "success": true,
  "duration_minutes": 15
})

Implementation

This skill manages a JSON database of implementation patterns and their performance metrics.

Data Structure (.claude/data/rails-patterns.json)

{
  "patterns": {
    "Devise Auth": {
      "tags": ["rails", "auth", "devise"],
      "uses": 10,
      "successes": 9,
      "avg_duration": 12.5,
      "last_used": "2023-10-27T10:00:00Z"
    }
  }
}

Modes

1. Suggest (mode="suggest")

• Input: context_tags (list of strings)
• Logic:
  • Filter patterns matching at least one tag
  • Calculate confidence score: (successes / uses) * log(uses + 1)
  • Sort by confidence
• Output: List of patterns with confidence scores

2. Update (mode="update")

• Input: metrics (dict)
  • pattern_used (string)
  • success (boolean)
  • duration_minutes (float)
• Logic:
  • Update uses, successes
  • Recalculate avg_duration
  • Update last_used
• Output: Confirmation

Standalone Operation

This skill operates entirely within the project's .claude/ directory, ensuring portability and independence from global system state.