auto-improvement

What problem does it solve?

This Skill addresses the issue of recurring errors and inefficiencies by implementing a robust self-improvement feedback loop, ensuring the agent measurably enhances its performance over time.

Core Features & Use Cases

• Metric Collection: Tracks key performance indicators like first-attempt success rate and error recurrence.
• Error Analysis & Classification: Identifies and categorizes errors based on a defined taxonomy and severity.
• Pattern Recognition: Detects recurring failure patterns and successful approaches.
• Adaptation & Improvement: Implements guardrails, checklists, and workflow adjustments based on identified patterns.
• Feedback Loop: Validates the effectiveness of improvements and integrates learnings into memory.
• Use Case: An agent repeatedly makes the same syntax error in Python. This skill will log the error, identify the pattern, and implement a pre-flight checklist before Python code generation to prevent future occurrences.

Quick Start

Use the auto-improvement skill to analyze errors from the last session and implement one preventive measure.