What problem does it solve? After each automated workflow or pipeline run, teams need a consistent way to capture what worked, what failed, and what to improve—without flooding the issue tracker with one-off ideas. This Skill automates post-workflow retrospectives: it runs three parallel review sub-agents, merges their KPT (Keep/Problem/Try) findings, and only promotes Try items to GitHub Issues when they meet qualification rules (blocker urgency or repeated observation with available WIP capacity). ## Core Features & Use Cases - Parallel KPT Review: Launches three haiku sub-agents (artifact quality, process/automation, tech/tooling reviewers) simultaneously to evaluate a completed pipeline run. - PULL-type Issue Promotion: Records all Try items in a candidate ledger Issue, and only creates or reopens type:retro-try Issues when eligibility criteria are met, preventing tracker noise. - Failure-triggered Retros: Automatically runs on circuit-breaker activation, repeated errors, or quality gate failures so root-cause prevention measures accumulate without manual requests. - Use Case: After a content-generation pipeline finishes (or fails twice with the same error), invoke the retrospective to get a KPT summary, Slack notification, ledger updates, and deduplicated improvement Issues with priority escalation on recurrence. ## Quick Start Ask the AI to run a retrospective on the latest pipeline execution, for example by saying "レトロスペクティブして" or "/retrospective {pipeline} {ID}".