clip-feedback

Name: clip-feedback
Author: LuisHiluy

Analyze an AI-generated video clip against the prompt that produced it. Detects canon rule violations, emotion/energy/world mismatches, palette drift, and quality issues, then suggests specific prompt fixes to improve the next generation. Use whenever the user has a Veo, Seedance, Kling, Runway, or other AI-generated clip and asks "why does this look wrong", "check the clip", "check this clip", "p

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Updated 2 months ago

View on GitHub ↗License: MIT

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Clip Feedback — Prompt Intent vs Reality

What this does

Takes a video clip plus the prompt that generated it, analyzes what the clip actually looks like (via Gemini 2.5 Pro), and returns:

Rule violations — character names in prompt, 4th wall breaks, missing focal length, safety trigger stacking
Intent gaps — emotion mismatch, world palette drift, shot type wrong, energy level off
Quality issues — text overlays, CGI artifacts, motion blur, missing face
**Specific promp

[Description truncada. Veja o README completo no GitHub.]

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