This skill offers best practices for writing effective AI video generation prompts using inference.sh. It is designed for developers and content creators looking to enhance their video generation capabilities.
$ npx skills add https://github.com/inference-sh-skills/skills --skill video-prompting-guideThe Video Prompting Guide provides structured best practices for crafting effective prompts for AI video generation through inference.sh, supporting 40+ video models including Veo, Seedance, and Wan. It helps developers and content creators understand prompt engineering techniques specific to video generation, improving output quality and creative control. This guide is part of the inference.sh skills ecosystem, which offers access to hundreds of AI models through a unified CLI and agent interface. By following these prompting strategies, users can achieve more consistent, higher-quality video generation results across different models and use cases.
Install using the CLI and follow the prompt structure given in the example.
Generate cinematic video prompts
Create engaging video content
Automate video generation tasks
Improve video prompt writing skills
$ npx skills add https://github.com/inference-sh-skills/skills --skill video-prompting-guidegit clone https://github.com/inference-sh-skills/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a detailed video generation prompt for [COMPANY] using inference.sh. The video should be for [INDUSTRY/PURPOSE], with the following specifications: [VIDEO_LENGTH], [STYLE/TONE], [KEY_VISUALS], [AUDIO_REQUIREMENTS], and [ANY_ADDITIONAL_CONSTRAINTS]. Ensure the prompt includes camera angles, lighting, and any specific AI models or techniques to use.
```markdown **Video Generation Prompt for inference.sh** **Title**: "Eco-Friendly Office Solutions for Modern Workspaces" **Length**: 60 seconds **Style/Tone**: Professional, clean, and futuristic **Key Visuals**: - Aerial shot of a modern office with open floor plan - Close-up of a bamboo desk organizer and reusable water bottle - Time-lapse of a recycling bin sorting process - Split-screen comparing traditional vs. sustainable office supplies **Camera Angles/Lighting**: - Wide-angle establishing shot with soft natural lighting - Medium close-up with three-point lighting for product shots - Dutch angle for dynamic transitions **Audio Requirements**: - Background music: Light electronic track (no vocals) - Voiceover: Professional female voice, clear and engaging - Sound effects: Subtle clicks for transitions, nature sounds (birds) in establishing shot **Models/Techniques**: - Use Stable Diffusion 3 for high-quality product renders - Apply Runway ML for smooth transitions between scenes - Include a 3D depth effect for the split-screen comparison **Additional Constraints**: - Avoid text overlays; rely on visual storytelling - Maintain a color palette of greens, whites, and soft grays - Ensure all products are labeled with subtle 3D tags in post-processing ```
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