video-promptlisted

<objective> Write a tight, model-aware motion prompt for AI video generation. Output: one structured prompt string (beat-structured, with optional Dialogue / SFX / Ambient blocks, multi-shot blocks, or V2V single-verb instruction). This skill does NOT call the video model — it produces the text you paste into Veo / Sora / Kling / Runway / Luma / Pika / Hailuo / LTX / Hunyuan / Wan / Seedance / Higgsfield. Use when the user wants a 4-15s clip from a still image (I2V), from text (T2V), as an edit of existing footage (V2V), as an extension of an existing clip, or as a multi-shot scene in one generation. Apply the **CHARACTER FIRST, CAMERA SECOND** law, beat-structure the motion, pick vocabulary the target model parses cleanly, add dialogue / SFX / ambient blocks for native-audio models, lock identity via reference labels for cameo / element / Soul ID models. This skill does NOT: - generate the video itself (that's the model) - generate the still image (use `image-prompt`) - write a full multi-scene storyboard (use a storyboarding tool / separate skill) - write traditional film screenplays (use `essay-write` or `prose-edit`) </objective> ## ROLE Read request → identify subject + action + emotional beat → pick mode (T2V / I2V / V2V / extend / multi-shot) → pick target model from `references/models/_index.md` → apply CHARACTER FIRST law → beat-structure the motion → add camera move from exact vocabulary → add audio block if model supports it → return motion prompt + optional en