video-prompting-guide
Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=inference-sh-skills-guides-prompting-video-prompting-guide-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name video-prompting-guide description Best practices and techniques for writing effective AI video generation prompts. Covers: Veo, Seedance, Wan, Grok, Kling, Runway, Pika, Sora prompting strategies. Learn: shot types, camera movements, lighting, pacing, style keywords, negative prompts. Use for: improving video quality, getting consistent results, professional video prompts. Triggers: video prompt, how to prompt video, veo prompts, video generation tips, better ai video, video prompt engineering, video prompt guide, video prompt template, ai video tips, video prompt best practices, video prompt examples, cinematography prompts allowed-tools Bash(belt *) Install the belt CLI skill: npx skills add belt-sh/cli Video Prompting Guide Best practices for writing effective AI video generation prompts via inference.sh . Quick Start Requires inference.sh CLI ( belt ). Install instructions belt login # Well-structured video prompt belt app run google/veo-3-1-fast --input '{ "prompt": "Cinematic tracking shot of a red sports car driving through Tokyo at night, neon lights reflecting on wet streets, rain falling, 4K, shallow depth of field" }' Prompt Structure Formula [Shot Type] + [Subject] + [Action] + [Setting] + [Lighting] + [Style] + [Technical] Example Breakdown "Slow motion close-up of coffee being poured into a white ceramic cup, steam rising, morning sunlight streaming through window, warm color grading, cinematic, 4K, shallow depth of field" Shot Type : Slow motion close-up Subject : Coffee Action : Being poured Setting : White ceramic cup, window Lighting : Morning sunlight Style : Warm color grading, cinematic Technical : 4K, shallow depth of field Shot Types Shot Type Description Use For Wide shot Shows entire scene Establishing location Medium shot Waist-up framing Conversations, actions Close-up Face or detail Emotion, product detail Extreme close-up Single feature Drama, texture Aerial shot Bird's eye view Landscapes, scale Low angle Camera looking up Power, grandeur High angle Camera looking down Vulnerability Dutch angle Tilted camera Unease, tension POV shot First person view Immersion Camera Movements Movement Description Effect Tracking shot Camera follows subject Dynamic, engaging Dolly in/out Camera moves toward/away Focus, reveal Pan Horizontal rotation Survey scene Tilt Vertical rotation Reveal height Crane shot Vertical + horizontal Dramatic reveal Handheld Slight shake Realism, urgency Steadicam Smooth following Professional, cinematic Zoom Lens zoom in/out Quick focus change Static No movement Contemplation, stability Lighting Keywords Keyword Effect Golden hour Warm, soft, romantic Blue hour Cool, moody, twilight High key Bright, minimal shadows Low key Dark, dramatic shadows Rim lighting Subject outlined with light Backlit Light from behind subject Soft lighting Gentle, flattering Hard lighting Sharp shadows, contrast Neon Colorful, urban, cyberpunk Natural lighting Realistic, documentary Style Keywords Cinematic Styles cinematic, film grain, anamorphic lens, letterbox, shallow depth of field, bokeh, 35mm film, color grading, theatrical Visual Aesthetics minimalist, maximalist, vintage, retro, futuristic, cyberpunk, steampunk, noir, pastel, vibrant, muted colors, high contrast, desaturated Quality Keywords 4K, 8K, high resolution, photorealistic, hyperrealistic, ultra detailed, professional, broadcast quality, HDR Prompt Examples by Use Case Product Demo belt app run google/veo-3-1-fast --input '{ "prompt": "Smooth tracking shot around a sleek smartphone on a white pedestal, soft studio lighting, product photography style, reflections on surface, 4K, shallow depth of field" }' Nature Documentary belt app run google/veo-3-1 --input '{ "prompt": "Slow motion extreme close-up of a hummingbird hovering at a red flower, wings in motion blur, shallow depth of field, golden hour lighting, National Geographic style" }' Urban Lifestyle belt app run google/veo-3 --input '{ "prompt": "Tracking shot following a cyclist through busy city streets, morning rush hour, natural lighting, handheld camera feel, documentary style, authentic and candid" }' Food Content belt app run bytedance/seedance-2-0 --input '{ "prompt": "Close-up of chocolate sauce being drizzled over ice cream, slow motion, steam rising, soft lighting, food photography style, appetizing, commercial quality", "generate_audio": true }' Tech/Futuristic belt app run xai/grok-imagine-video --input '{ "prompt": "Futuristic control room with holographic displays, camera slowly pans across the space, blue and cyan lighting, sci-fi atmosphere, Blade Runner aesthetic, 4K", "duration": 5 }' Common Mistakes to Avoid Mistake Problem Better Approach Too vague "A nice video" Specify shot, subject, style Too complex Multiple scenes One scene per prompt No motion Static description Include camera movement or action Conflicting styles "Minimalist maximalist" Choose one aesthetic No lighting Undefined mood Specify lighting conditions Model-Specific Tips Google Veo Excels at realistic, cinematic content Supports audio generation (Veo 3+) Best with detailed, professional prompts Frame interpolation available in 3.1 Seedance Strong at dance and human motion First-frame control available Good for consistent character motion Works well with reference images Wan 2.5 Best for image-to-video Animates still images naturally Good motion prediction Works with any image style Grok Good general-purpose video Configurable duration (5-10s) Creative interpretations Works well with abstract concepts Workflow: Iterative Prompting # 1. Start with basic prompt belt app run google/veo-3-1-fast --input '{ "prompt": "A woman walking through a forest" }' # 2. Add specificity belt app run google/veo-3-1-fast --input '{ "prompt": "Medium tracking shot of a woman in a red dress walking through an autumn forest" }' # 3. Add style and technical details belt app run google/veo-3-1-fast --input '{ "prompt": "Cinematic medium tracking shot of a woman in a flowing red dress walking through an autumn forest, golden hour sunlight filtering through leaves, shallow depth of field, film grain, 4K" }' Related Skills # Generate videos npx skills add inference-sh/skills@ai-video-generation # Google Veo specific npx skills add inference-sh/skills@google-veo # Generate images for image-to-video npx skills add inference-sh/skills@ai-image-generation # General prompt engineering npx skills add inference-sh/skills@prompt-engineering # Full platform skill npx skills add inference-sh/skills@infsh-cli Browse all video apps: belt app list --category video Documentation Running Apps - How to run apps via CLI Video Generation Guide - Comprehensive video guide
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |