track-shadow-genome

What problem does it solve?

This Skill addresses the common issue of repeating past mistakes by systematically capturing and analyzing failed approaches, turning them into actionable lessons for future development.

Core Features & Use Cases

• Failure Capture: Records detailed information about failed attempts, including context, attempted solution, and failure mode.
• Taxonomy-Based Classification: Utilizes a predefined taxonomy to categorize failure modes, enabling pattern recognition.
• Lesson Extraction: Formulates clear, actionable lessons learned from each failure.
• Pattern Detection: Identifies recurring failure patterns to implement systematic prevention mechanisms.
• Use Case: When a new feature deployment fails due to a security vulnerability, this skill can be used to log the incident, classify the failure mode (e.g., SECURITY_REGRESSION), extract the lesson learned (e.g., "All cryptographic changes require security review"), and update the Shadow Genome documentation.

Quick Start

Use the track-shadow-genome skill to record a failed approach with context, attempted solution, and failure mode.