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Agent Skill · 研究检索

video-generation(视频生成)

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-generation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 42,285。

总安装 1,091周安装 45GitHub Stars 10下载 356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
unknown

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-generation(视频生成)
来源仓库:https://github.com/michaelboeding/skills
仓库路径:skills/video-generation
安装命令:
npx skills add https://github.com/michaelboeding/skills --skill video-generation
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。

skills.shnpx skills
npx skills add https://github.com/michaelboeding/skills --skill video-generation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

video-generation 用于辅助视频生成、动画合成或 Remotion 项目开发,适合组织镜头和生成素材说明。适用于短视频制作、宣传片或交互式内容场景。使用时需确认分辨率、时长和导出格式要求。涉及外部素材或人物肖像时应先核对版权授权和内容审核要求。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/video-generation

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 https://github.com/michaelboeding/skills --skill video-generation;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

    它需要操作浏览器,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-generation 怎么安装?

在终端执行 npx skills add https://github.com/michaelboeding/skills --skill video-generation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

video-generation 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-generation 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

video-generation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

video-generation 用的人多吗?

公开数据是累计安装 1,091 次,近一周安装 45 次,下载 356 次,GitHub 10 星。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-generation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
video-generation

视频生成 · 本页

1,09110操作浏览器未明确通过

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

Video Generation Skill

Generate videos using AI (Google Veo 3.1, OpenAI Sora).

Capabilities:

  • 🎬 Text-to-Video: Create videos from text descriptions
  • 🖼️ Image-to-Video: Animate images as the first frame
  • 🔊 Audio Generation: Dialogue, sound effects, ambient sounds (Veo 3+)
  • 🎭 Reference Images: Guide video content with up to 3 reference images (Veo 3.1)

Prerequisites

Default: Vertex AI (10 requests/minute) ⭐

Vertex AI is the default backend with 1400x higher rate limits:

# 1. Set your project
export GOOGLE_CLOUD_PROJECT=your-project-id

# 2. Authenticate (opens browser)
gcloud auth application-default login

# 3. Enable the API (one-time)
gcloud services enable aiplatform.googleapis.com

Add to your .env file:

GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_CLOUD_LOCATION=us-central1

Fallback: AI Studio (10 requests/day)

Only use if you don't have a GCP project:

For Sora (OpenAI)

  • OPENAI_API_KEY - For OpenAI Sora

Available Models

Google Veo Models

ModelDescriptionBest For
veo-3.1Highest quality (default)Professional videos, dialogue, reference images
veo-3.1-fastFaster processingQuick iterations, batch generation

Both models include:

  • 720p/1080p resolution
  • 4, 6, or 8 second duration
  • Native audio (dialogue, SFX, ambient)
  • Image-to-video (animate images)
  • Reference images (up to 3)
  • Video extension
  • Batch/parallel generation

OpenAI Sora

  • Best for: Creative videos, cinematic quality, complex motion
  • Resolutions: 480p, 720p, 1080p
  • Durations: 5s, 10s, 15s, 20s
  • Features: Text-to-video, image-to-video

Workflow

Step 1: Gather Requirements (REQUIRED)

⚠️ Use interactive questioning — ask ONE question at a time.

Question Flow

⚠️ Use the AskUserQuestion tool for each question below. Do not just print questions in your response — use the tool to create interactive prompts with the options shown.

Q1: Image

"I'll generate that video for you! First — do you have an image to animate? - Yes (provide path — I'll use it as the first frame) - No, generate from scratch"

*Wait for response.*

Q2: Audio

"What audio preference? - With audio (default) — Veo 3.1 generates dialogue, SFX, ambient - Silent video — no audio"

*Wait for response.*

Q3: Model

"Which model would you like? - veo-3.1 — Latest, highest quality with audio (default) - veo-3.1-fast — Faster processing with audio - veo-3 / veo-3-fast — Previous generation with audio - sora — OpenAI, up to 20 seconds, no audio"

*Wait for response.*

Q4: Duration

"What duration? - 4 seconds - 6 seconds - 8 seconds (default)"

*Wait for response.*

Q5: Format

"What aspect ratio and resolution? - 16:9 landscape, 720p - 16:9 landscape, 1080p - 9:16 portrait, 720p - 9:16 portrait, 1080p - Or specify"

*Wait for response.*

Quick Reference
QuestionDetermines
ImageImage-to-video vs text-to-video
AudioWith/without audio generation
ModelQuality and speed tradeoff
DurationClip length
FormatAspect ratio and resolution

Step 2: Craft the Prompt

Transform the user request into an effective video prompt:

  1. Describe the scene: Set the visual context
  2. Specify action: What moves, changes, happens
  3. Include camera work: "slow pan", "tracking shot", "dolly shot"
  4. Add audio cues (Veo 3+): Use quotes for dialogue, describe sounds
  5. Set the mood: Lighting, atmosphere, time of day

Example with dialogue (Veo 3.1):

  • User: "a person discovering treasure"
  • Enhanced: "Close-up of a treasure hunter's face as torchlight flickers. He murmurs 'This must be it...' while brushing dust off an ancient chest. Sound of creaking hinges as he opens it, revealing golden light on his awestruck face. Cinematic, dramatic shadows."

Example without dialogue:

  • User: "a dog running on a beach"
  • Enhanced: "Cinematic slow-motion shot of a golden retriever running joyfully along a beach at sunset, waves lapping, warm golden hour lighting, shallow depth of field"

Step 3: Select the Model

Default: veo-3.1 (highest quality, with audio)

Use CaseRecommended ModelReason
Best qualityveo-3.1 (default)Highest quality, audio
Quick iterationveo-3.1-fastFaster processing
Batch generationveo-3.1-fastSpeed matters for multiple clips
Longer videos (>8s)soraSupports up to 20s

Step 4: Generate the Video

Execute the appropriate script from ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/:

For Google Veo 3.1 (default, with audio):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --prompt "your enhanced prompt with 'dialogue in quotes'" \
  --model "veo-3.1" \
  --duration 8 \
  --aspect-ratio "16:9" \
  --resolution "720p"

For Google Veo 3.1 with image input:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --prompt "The cat slowly opens its eyes and yawns" \
  --image "/path/to/cat.jpg" \
  --model "veo-3.1" \
  --duration 8

For faster generation:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --prompt "your prompt" \
  --model "veo-3.1-fast"

For OpenAI Sora (longer videos):

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/sora.py \
  --prompt "your enhanced prompt" \
  --duration 20 \
  --resolution "1080p"

List available models:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py --list-models

Video Extension (For Long-Form Continuity)

The --extend flag creates TRUE visual continuity by continuing from where a previous Veo video ended. This is the best approach for long-form videos.

Basic extension:

# First, generate initial clip
python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --prompt "A person walks through a forest at sunrise" \
  --duration 8

# Extend it with new content (adds ~7 seconds)
python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --extend veo_veo-3.1_20260104_120000.mp4 \
  --prompt "Continue walking, discover a hidden stream"

Multiple extensions (for longer videos):

# Extend 5 times (adds ~35 seconds of continuation)
python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --extend initial_clip.mp4 \
  --prompt "Keep exploring the forest, encounter wildlife" \
  --extend-times 5

Extension vs Stitching:

ApproachResultUse Case
ExtensionTrue continuity, same characters/sceneLong continuous shots
StitchingSeparate clips with transitionsScene changes, montages

Extension Limits:

  • Input video must be Veo-generated (max 141 seconds)
  • Each extension adds ~7 seconds
  • Maximum 20 extensions total (~2.5 minutes)
  • Output resolution is 720p

Batch Generation (Parallel)

Generate multiple videos simultaneously for faster multi-scene workflows. Instead of waiting 15+ minutes for 5 sequential videos, generate them all in parallel (~3 minutes total).

Create a scenes.json file:

[
  {"prompt": "Scene 1: Cinematic hero shot of wireless earbuds on dark surface", "duration": 6, "output": "scene1_hero.mp4"},
  {"prompt": "Scene 2: Sound waves visualization, person enjoying music", "duration": 8, "output": "scene2_sound.mp4"},
  {"prompt": "Scene 3: Close-up of earbud in ear, person exercising", "duration": 8, "output": "scene3_comfort.mp4"},
  {"prompt": "Scene 4: Lifestyle montage, various settings", "duration": 8, "output": "scene4_lifestyle.mp4"},
  {"prompt": "Scene 5: Product with logo on clean background", "duration": 4, "output": "scene5_cta.mp4"}
]

Generate all scenes in parallel:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --batch scenes.json

With custom worker count:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/video-generation/scripts/veo.py \
  --batch scenes.json \
  --max-workers 3

Batch config options per video:

OptionDescriptionDefault
promptVideo description (required)-
modelveo-3.1, veo-3.1-fast, etc.veo-3.1
duration4, 6, or 8 seconds8
aspect_ratio"16:9" or "9:16""16:9"
resolution"720p" or "1080p""720p"
imagePath to image for image-to-video-
negative_promptWhat to avoid-
outputCustom output filenameauto-generated

Speed comparison:

ScenesSequentialParallel (5 workers)Speedup
3~9 min~3 min3x
5~15 min~3 min5x
10~30 min~6 min5x

Step 5: Deliver the Result

  1. Provide the generated video file/URL
  2. Share the enhanced prompt used
  3. Mention generation settings (duration, resolution)
  4. Offer to:

- Generate variations - Try different style/duration - Use a different API - Extend the video

Error Handling

Missing API key: Inform the user which key is needed:

Content policy violation: Rephrase the prompt appropriately.

Generation failed: Retry with simplified prompt or different API.

Quota exceeded: Suggest waiting or trying the other provider.

Prompt Engineering Tips

For Audio (Veo 3.1)

  • Dialogue: Use quotes for speech: "Hello!" she said excitedly
  • Sound effects: Describe explicitly: tires screeching, engine roaring
  • Ambient: Describe the soundscape: birds chirping, distant traffic
  • Example: A man whispers "Did you hear that?" as footsteps echo in the dark hallway

For Cinematic Quality

  • Include camera directions: "slow dolly", "tracking shot", "crane shot"
  • Specify lighting: "golden hour", "dramatic shadows", "soft diffused light"
  • Add film references: "Blade Runner style", "Wes Anderson aesthetic"

For Realistic Motion

  • Describe physics: "natural movement", "realistic physics"
  • Include environmental details: "wind in hair", "leaves rustling"
  • Specify speed: "slow motion", "real-time", "time-lapse"

For Image-to-Video

  • Describe what should change/move from the starting image
  • Be specific about the action: "the cat slowly opens its eyes"
  • Include environmental motion: "leaves blow past"

Negative Prompts

  • Describe what NOT to include: --negative-prompt "cartoon, low quality, blurry"
  • Don't use "no" or "don't" - just describe the unwanted elements

API Comparison

FeatureVeo 3.1 (Default)Veo 3.1 FastSora
ProviderGoogleGoogleOpenAI
API KeyGOOGLE_API_KEYGOOGLE_API_KEYOPENAI_API_KEY
Max duration8 seconds8 seconds20 seconds
Resolution720p, 1080p720p, 1080pUp to 1080p
Aspect ratios16:9, 9:1616:9, 9:1616:9, 9:16, 1:1
Audio (dialogue, SFX)✅ Yes✅ Yes❌ No
Image-to-video✅ Yes✅ Yes✅ Yes
Reference images✅ Up to 3✅ Up to 3❌ No
Video extension✅ Yes✅ Yes❌ No
Batch generation✅ Yes✅ Yes❌ No
SpeedBest quality~2x fasterSlower
Best forProfessionalBatch workflowsLonger videos

平台分布

Codex

35.03%
按下载量换算125

Claude

30.03%
按下载量换算107

Cursor

21.06%
按下载量换算75

Gemini CLI

10.76%
按下载量换算38

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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