video-prompt-engineering
Optimize prompts for AI video generation platforms including Sora, Runway, Pika, and Kling
npx skills add a5c-ai/babysitter --skill video-prompt-engineering --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 t
- Purpose
- Universal Prompt Structure
- Component Details
- Platform-Specific Optimization
- Sora (OpenAI)
- Runway Gen-3
- Pika
- Kling
- Camera Movement Vocabulary
- Static Shots
- Movement Types
- Speed Modifiers
- Action Description
- Effective Action Verbs
What does the video-prompt-engineering skill do?
Optimize prompts for AI video generation platforms including Sora, Runway, Pika, and Kling
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill video-prompt-engineering --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.