Reflection Craft

What problem does it solve?

This Skill transforms work sessions into structured, actionable learnings, helping to improve AI capabilities over time by identifying and encoding valuable insights from actual usage.

Core Features & Use Cases

• Trace-Aware Reflection: Analyzes session context (plugins used, successes, friction) to ground learnings in reality.
• Structured Debriefing: Guides users through key questions about what happened, what worked, and what friction occurred.
• Learning Distillation: Filters potential learnings based on their potential to shift the capability frontier and their emergence from real selection pressure.
• Actionable Output: Generates 1-line testable rules, feature requests, or fixes with source references, categorized for integration into the system.
• Use Case: After a complex debugging session involving multiple tools, use this Skill to debrief the experience, identify specific points of confusion or unexpected behavior, and generate concrete suggestions for improving the tools or documentation.

Quick Start

Use the reflection craft skill to debrief this work session and capture key learnings.