| name | ai-video-prompting |
| description | AI video prompt design guide for crafting prompts for Sora, Veo, Kling, Runway, Pika, Luma, Seedance, Wan, image-to-video, reference-based generation, cinematic shots, camera movement, motion continuity, timing, and negative prompts. Use when improving prompts for AI video quality rather than generating still images. |
| source | HsinPu/Autoverse-Ai-Agent-Skills |
| license | Apache-2.0 |
AI Video Prompting
Use this skill when the task is to write or improve prompts for AI video generation.
Workflow
- Identify the subject, action, setting, duration, aspect ratio, and intended platform.
- Specify temporal behavior: starting state, motion path, action beats, ending state, and pacing.
- Add camera language: shot size, angle, lens feel, camera movement, framing, and focus behavior.
- Add visual direction: lighting, color, texture, era, environment, mood, and production style.
- Add continuity constraints for characters, wardrobe, products, logos, props, and scene geography.
- Add negative constraints only when they reduce common artifacts or model-specific failure modes.
Prompt Shape
Subject and action over time, setting, camera/framing, motion and pacing, lighting/style, continuity constraints, output constraints
Rules
- Describe motion explicitly; still-image prompt language is not enough for video.
- Keep one clear action per short clip unless the model supports multi-shot prompting well.
- Avoid contradictory camera moves, impossible physics, or too many simultaneous actions.
- Prefer concrete shot vocabulary over vague cinematic adjectives.
- Preserve the user's creative intent; improve clarity rather than changing the concept.
Handoff
- For still-image prompts, use
ai-image-prompt-design.
- For selecting models or running a generation workflow, use
ai-video-generation.
- For multi-shot planning, use
storyboard-creation.
