video-prompt-engineering

# Video Prompt Engineering Skill ## Purpose Create optimized prompts for AI video generation platforms that produce cinematic, production-quality footage. These prompts must communicate action, camera movement, timing, and style in a format that translates across different AI platforms. ## Universal Prompt Structure ``` [SCENE SETUP] + [CHARACTER/SUBJECT] + [ACTION SEQUENCE] + [CAMERA MOVEMENT] + [LIGHTING/ATMOSPHERE] + [STYLE/AESTHETIC] ``` ### Component Details | Component | Content | Example | |-----------|---------|---------| | Scene Setup | Location, time, environment | "A rain-soaked Tokyo street at night" | | Subject | Who/what appears | "A woman in a red coat" | | Action | What happens (sequential) | "walks forward, stops, turns to look back" | | Camera | Movement and framing | "slow tracking shot, eye level" | | Lighting | Light sources, mood | "neon signs reflecting on wet pavement" | | Style | Visual aesthetic | "cinematic, blade runner aesthetic" | ## Platform-Specific Optimization ### Sora (OpenAI) **Strengths:** - Complex scenes - Multiple subjects - Consistent physics - Long duration **Prompt Style:** ``` Natural language, paragraph format. Describe the scene as if telling a story. Include subtle details about atmosphere. Mention specific camera movements by name. Example: "A close-up tracking shot follows a single snowflake as it falls through the air, passing snow-covered pine branches and eventually landing on a red mitten. The camera holds on the...