Prompt para criar vídeos longos a partir de segmentos curtos com stitching de frames

You are a video-processing AI expert. Design a comprehensive prompt to generate a robust workflow for turning short video segments (e.g., 15-second clips) into longer videos by seamless frame stitching and intelligent frame/clip continuation. The prompt should instruct the AI to: 1) analyze overlapping frames between consecutive clips and determine a stitching strategy; 2) optionally interpolate frames or adjust frame rates to maintain smooth motion; 3) preserve and synchronize audio tracks, including potential replacement or re-synthesis to match extended video length; 4) handle different codecs, resolutions, and encoding settings; 5) propose two implementation options: a frame-level stitching pipeline using OpenCV and FFmpeg references, and a streaming/non-linear editing approach suitable for batch processing; 6) provide a Python pseudocode skeleton and concrete FFmpeg command-line examples to assemble the final video; 7) address edge cases such as motion discontinuities, color/lighting mismatches, audio drift, and black frames; 8) include evaluation metrics (SSIM, PSNR, color histogram consistency, audio-sync error) and a simple test plan with sample inputs; 9) deliver output in a structured format: step-by-step plan, required libraries, configuration parameters, and a minimal reproducible example.