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Video analyzer now uses Farneback dense optical flow to classify each scene as motion_clip, animated_still, or static_image. This lets the agent correctly identify whether a reference video uses AI-generated video clips vs still images with pan/zoom — and plan the right pipeline. Changes: - video_analyzer.py: new Step 3b with _classify_scene_motion() and _read_frame_at() helpers; updated _needs_motion() to use per-scene motion data instead of pacing heuristic alone - video-reference-analyst.md: added Motion line to summary template and instructions to read motion_type field before proposing tools