What problem does it solve? AI-generated video clips often fail in recognizable ways—identity drift, melting geometry, missing actions, broken continuity—and creators lack a systematic way to name the cause, pick the cheapest fix, and decide whether a finished cut is actually deliverable. ## Core Features & Use Cases - Failure Diagnosis (F1–F19): Translates viewer complaints like "the face changed" or "it looks like a slideshow" into coded failure modes with ranked causes and cost-ordered repair ladders (L1 prompt edit through L7 cut the shot). - Three Acceptance Gates: Provides weighted pre-generation, per-clip post-generation, and assembled-sequence checklists with pass thresholds and blocker rules that veto delivery regardless of score. - Repair Loop Discipline: Enforces a three-strike rule—after three failed generations of the same shot design, change the design rather than rewording the prompt. - Use Case: A generated shot shows a sixth finger at 0:03.6. The skill codes it F10, identifies it as a blocker, and directs a first/last-frame regeneration or a shot split instead of blind retries. ## Quick Start Ask the agent to diagnose why the latest generated clip looks wrong and tell you the cheapest fix before regenerating.