double-loop-execution-reviewer

What problem does it solve?

This skill turns completed work into a concise, evidence-based retrospective, handoff, or improvement memo using a double-loop learning framework. It helps answer what was supposed to happen, what actually happened, what evidence supports that, and what changes should be made for the next pass. It is useful after coding, writing, research, planning, debugging, or operational tasks where several artifacts were produced and a clear continuation is needed.

Core Features & Use Cases

• After Action Review (AAR) framework: clarify intended outcomes, actual results, gaps, and next actions.
• Double-loop learning: assess whether goals, assumptions, and working rules should change for the next iteration.
• Handoff-ready outputs: produce structured summaries for teammates or future agents, while preserving ownership and decision context.

Quick Start

Execute the review workflow on a completed task and generate a structured retrospective with concrete next steps.