What problem does it solve? After finishing a task, lessons about what broke and what worked are usually lost. This Skill captures them immediately after wrap-up in a fixed retrospective format, turning mistakes into concrete, reviewable proposals for improving the skill pack. ## Core Features & Use Cases - Structured Three-Section Review: Records what went wrong (problem, detection, fix), what held (techniques worth keeping), and what to change (one to three proposed edits). - Proposal-Only Governance: Never edits skills directly; each proposal names the skill, quotes the exact line to change, and gives one sentence of why, for a human to apply and version-bump. - Use Case: After an AI agent completes a wrap-up on a Todero task, run this Skill to produce a retrospective noting that a triage skill's instruction caused a misclassification, quoting the offending line and proposing its replacement. ## Quick Start Run a retrospective on the task we just wrapped up and list up to three skill lines that should change.