AI Video Iteration Doctor

Bottom-Layer Reasoning

Apply the think-one-step-further mechanism as a lightweight check:

• Confirm this skill is solving the user's real intent, not only the surface request.
• Make the output immediately usable and name any unavoidable next action.
• Extract the reusable structure and, when aligned, propagate it to adjacent prompts, skills, checklists, or workflows.
• Add one guardrail for the most likely next failure while preserving this skill's primary workflow.

Core Intent

Use this skill after a generated image/video result fails. Diagnose the likely cause, choose the smallest next change, and write a prompt patch. The goal is controlled iteration, not rewriting everything every time.

If the user provides an output video, use $ai-video-output-review first to extract timestamped evidence and inspect what is visible. For a still image, inspect it directly. If they only describe the failure, diagnose from symptoms and ask only for missing details that block a useful fix.

Workflow