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varg-video-generationVarg 视频生成

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。

总安装

416

周安装

17

GitHub Stars

242

下载量

135
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

unknown

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

简介

varg-video-generation 用于辅助视频生成、动画合成和 Remotion 项目开发。

  • 它适合组织镜头、生成素材说明或维护合成代码。
  • 使用时需确认分辨率、时长、素材路径和导出格式。
  • 涉及外部素材或商业发布时应核对版权授权要求。
  • 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。

SKILL.md

Video Generation with varg React Engine

Generate AI videos using declarative JSX syntax with automatic caching and parallel generation.

Quick Setup

Initialize a new project:

bunx vargai init

Or just create hello.tsx starter:

bunx vargai hello

Check existing API keys:

cat .env 2>/dev/null | grep -E "^(FAL_KEY|ELEVENLABS_API_KEY)=" || echo "No API keys found"

Required API Keys

FAL_KEY (Required)

DetailValue
ProviderFal.ai
Get ithttps://fal.ai/dashboard/keys
Free tierYes (limited credits)
Used forImage generation (Flux), Video generation (Wan 2.5, Kling)

If user doesn't have FAL_KEY:

  1. Direct them to https://fal.ai/dashboard/keys
  2. Create account and generate API key
  3. Add to .env file: FAL_KEY=fal_xxxxx

Optional Keys

FeatureKeyProviderURL
Music/VoiceELEVENLABS_API_KEYElevenLabshttps://elevenlabs.io/app/settings/api-keys
LipsyncREPLICATE_API_TOKENReplicatehttps://replicate.com/account/api-tokens
TranscriptionGROQ_API_KEYGroqhttps://console.groq.com/keys

Warn user about missing optional keys but continue with available features.

Available Features by API Key

FAL_API_KEY only:

  • Image generation (Flux models)
  • Image-to-video animation (Wan 2.5, Kling)
  • Text-to-video generation
  • Slideshows with transitions
  • Ken Burns zoom effects

FAL + ELEVENLABS:

  • All above, plus:
  • AI-generated background music
  • Text-to-speech voiceovers
  • Talking character videos

All keys:

  • Full production pipeline with lipsync and auto-captions

Quick Templates

Simple Slideshow (FAL only)

/** @jsxImportSource vargai */
import { Render, Clip, Image } from "vargai/react";

const SCENES = ["sunset over ocean", "mountain peaks", "city at night"];

export default (
  <Render width={1080} height={1920}>
    {SCENES.map((prompt, i) => (
      <Clip key={i} duration={3} transition={{ name: "fade", duration: 0.5 }}>
        <Image prompt={prompt} zoom="in" />
      </Clip>
    ))}
  </Render>
);

Animated Video (FAL + ElevenLabs)

/** @jsxImportSource vargai */
import { Render, Clip, Image, Video, Music } from "vargai/react";
import { fal, elevenlabs } from "vargai/ai";

const cat = Image({ prompt: "cute cat on windowsill" });

export default (
  <Render width={1080} height={1920}>
    <Music prompt="upbeat electronic" model={elevenlabs.musicModel()} />
    <Clip duration={5}>
      <Video
        prompt={{ text: "cat turns head, blinks slowly", images: [cat] }}
        model={fal.videoModel("wan-2.5")}
      />
    </Clip>
  </Render>
);

Talking Character

/** @jsxImportSource vargai */
import { Render, Clip, Image, Video, Speech, Captions } from "vargai/react";
import { fal, elevenlabs } from "vargai/ai";

const robot = Image({ prompt: "friendly robot, blue metallic", aspectRatio: "9:16" });

const voiceover = Speech({
  model: elevenlabs.speechModel("eleven_multilingual_v2"),
  voice: "adam",
  children: "Hello! I'm your AI assistant. Let's create something amazing!",
});

export default (
  <Render width={1080} height={1920}>
    <Clip duration={5}>
      <Video
        prompt={{ text: "robot talking, subtle head movements", images: [robot] }}
        model={fal.videoModel("wan-2.5")}
      />
    </Clip>
    <Captions src={voiceover} style="tiktok" withAudio />
  </Render>
);

Running Videos

bunx vargai render your-video.tsx

Key Components

ComponentPurposeRequired Key
<Render>Root container-
<Clip>Sequential segment-
<Image>AI imageFAL
<Animate>Image-to-videoFAL
<Music>Background musicElevenLabs
<Speech>Text-to-speechElevenLabs

Common Patterns

Character Consistency

const character = Image({ prompt: "blue robot" });
// Reuse same reference = same generated image
<Animate image={character} motion="waving" />
<Animate image={character} motion="dancing" />

Transitions

<Clip transition={{ name: "fade", duration: 0.5 }}>
// Options: fade, crossfade, wipeleft, cube, slideup, etc.

Aspect Ratios

  • 9:16 - TikTok, Reels, Shorts (vertical)
  • 16:9 - YouTube (horizontal)
  • 1:1 - Instagram (square)

Zoom Effects

<Image prompt="landscape" zoom="in" />   // Zoom in
<Image prompt="landscape" zoom="out" />  // Zoom out
<Image prompt="landscape" zoom="left" /> // Pan left

Troubleshooting

"FAL_KEY not found"

  • Check .env file exists in project root
  • Ensure no spaces around = sign
  • Restart terminal after adding keys

"Rate limit exceeded"

  • Free tier has limited credits
  • Wait or upgrade plan
  • Use caching to avoid regenerating

"Video generation failed"

  • Check prompt doesn't violate content policy
  • Try simpler motion descriptions
  • Reduce video duration

Next Steps

  1. Run bunx vargai init to initialize project
  2. Add your FAL_KEY to .env
  3. Run bunx vargai render hello.tsx
  4. Or ask the agent: "create a 10 second tiktok video about cats"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.53%
按下载量换算48

Claude

31.7%
按下载量换算43

Cursor

19.64%
按下载量换算27

Gemini CLI

9.34%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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