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video-prompting-guide视频提示指导

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:video-prompting-guide(视频提示指导)
来源仓库:https://github.com/inf-sh/skills
仓库路径:skills/video-prompting-guide
安装命令:
npx skills add inf-sh/skills --skill "video-prompting-guide"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add inf-sh/skills --skill "video-prompting-guide"

简介

编写有效的 AI 视频生成提示的最佳实践和技术。涵盖:Veo、Seedance、Wan、Grok、Kling、Runway、Pika、Sora 提示策略。学习:镜头类型、摄像机运动、灯光、节奏、风格关键字、负面提示。用于:提高视频质量、获得一致的结果、专业视频提示。触发器:视频提示、如何提示视频、veo提示、视频生成技巧、更好的ai视频、视频提示工程、视频提示指南、视频提示模板、ai视频提示、视频提示最佳实践、视频提示示例、电影摄影提示

SKILL.md

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(infsh *)

Video Prompting Guide

Best practices for writing effective AI video generation prompts via inference.sh.

Video Prompting Guide

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Well-structured video prompt
infsh 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 TypeDescriptionUse For
Wide shotShows entire sceneEstablishing location
Medium shotWaist-up framingConversations, actions
Close-upFace or detailEmotion, product detail
Extreme close-upSingle featureDrama, texture
Aerial shotBird's eye viewLandscapes, scale
Low angleCamera looking upPower, grandeur
High angleCamera looking downVulnerability
Dutch angleTilted cameraUnease, tension
POV shotFirst person viewImmersion

Camera Movements

MovementDescriptionEffect
Tracking shotCamera follows subjectDynamic, engaging
Dolly in/outCamera moves toward/awayFocus, reveal
PanHorizontal rotationSurvey scene
TiltVertical rotationReveal height
Crane shotVertical + horizontalDramatic reveal
HandheldSlight shakeRealism, urgency
SteadicamSmooth followingProfessional, cinematic
ZoomLens zoom in/outQuick focus change
StaticNo movementContemplation, stability

Lighting Keywords

KeywordEffect
Golden hourWarm, soft, romantic
Blue hourCool, moody, twilight
High keyBright, minimal shadows
Low keyDark, dramatic shadows
Rim lightingSubject outlined with light
BacklitLight from behind subject
Soft lightingGentle, flattering
Hard lightingSharp shadows, contrast
NeonColorful, urban, cyberpunk
Natural lightingRealistic, 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

infsh 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

infsh 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

infsh 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

infsh app run bytedance/seedance-1-5-pro --input '{
  "prompt": "Close-up of chocolate sauce being drizzled over ice cream, slow motion, steam rising, soft lighting, food photography style, appetizing, commercial quality"
}'

Tech/Futuristic

infsh 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

MistakeProblemBetter Approach
Too vague"A nice video"Specify shot, subject, style
Too complexMultiple scenesOne scene per prompt
No motionStatic descriptionInclude camera movement or action
Conflicting styles"Minimalist maximalist"Choose one aesthetic
No lightingUndefined moodSpecify 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
infsh app run google/veo-3-1-fast --input '{
  "prompt": "A woman walking through a forest"
}'

# 2. Add specificity
infsh 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
infsh 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@inference-sh

Browse all video apps: infsh app list --category video

Documentation

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external-service

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