What problem does it solve? Broad, unstructured requests like "fix the bug" or "ship this feature" force an AI agent to improvise, skip verification, and declare half-done work complete. This Skill turns a single vague instruction into a structured XML phase plan with objective pass/fail gates, then drives unattended execution through investigation, implementation, deployment, E2E testing, and independent code review. ## Core Features & Use Cases - Automatic task classification and planning: Classifies input into bug-fix, feature, refactor, test, research, deploy, or quality types, then assembles a phase plan from templates with mandatory verification stages. - Maker-checker subagent orchestration: Dispatches implementation and verification to separate subagents with conflict-scope isolation, model routing, and concurrency limits so no agent grades its own work. - State-file recovery and failure handling: Tracks progress in progress.md with failure classification, adaptive retry rules, and hard-stop conditions so loops resume across iterations instead of spinning. - Use Case: Tell the agent "fix the login bug and deploy it" — autopilot claims the issue, investigates the root cause, implements the fix, deploys to test, runs E2E verification with an independent checker, reviews the code, redeploys, and closes the issue with evidence. ## Quick Start Tell the agent to take this task and run it end to end on autopilot without asking for confirmation.