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Agent Skill · AI 工具

video-prompting-guide(视频提示指导)

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。

video-prompting-guide 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在AI 工具类的 2,536 个 Skill 里排第 124。

总安装 18,166周安装 596GitHub Stars 公开资料未说明下载 7,855核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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"

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

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

来源仓库内路径:skills/video-prompting-guide

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add inf-sh/skills --skill "video-prompting-guide";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

video-prompting-guide 怎么安装?

在终端执行 npx skills add inf-sh/skills --skill "video-prompting-guide"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

video-prompting-guide 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

video-prompting-guide 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

video-prompting-guide 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

video-prompting-guide 用的人多吗?

公开数据是累计安装 18,166 次,近一周安装 596 次,下载 7,855 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

video-prompting-guide 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
video-prompting-guide

视频提示指导 · 本页

18,166—调用外部服务MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

Claude Code

68.19%
按下载量换算5,356

Cursor

28.68%
按下载量换算2,253

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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