Token导航 LogoToken导航TokenDH.com
AI 工具敏感数据github未标认证来源可访问clear审计通过

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

372

周安装

16

GitHub Stars

18

下载量

131
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

3

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:varg-video-generation(Varg 视频生成)
来源仓库:https://github.com/varghq/skills
仓库路径:skills/varg-video-generation
安装命令:
npx skills add https://github.com/varghq/skills --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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/varghq/skills --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

Run the setup script to initialize a project:

bun scripts/setup.ts

Or manually check API keys:

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

Required API Keys

FAL_API_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_API_KEY:

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

import { render, Render, Clip, Image } from "vargai/react";

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

await render(
  <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>,
  { output: "output/slideshow.mp4" }
);

Animated Video (FAL + ElevenLabs)

import { render, Render, Clip, Image, Animate, Music } from "vargai/react";
import { fal, elevenlabs } from "vargai/ai";

await render(
  <Render width={1080} height={1920}>
    <Music prompt="upbeat electronic" model={elevenlabs.musicModel()} duration={10} />
    <Clip duration={5}>
      <Animate
        image={Image({ prompt: "cute cat on windowsill" })}
        motion="cat turns head, blinks slowly"
        model={fal.videoModel("wan-2.5")}
        duration={5}
      />
    </Clip>
  </Render>,
  { output: "output/video.mp4" }
);

Talking Character

import { render, Render, Clip, Image, Animate, Speech } from "vargai/react";
import { fal, elevenlabs } from "vargai/ai";

await render(
  <Render width={1080} height={1920}>
    <Clip duration="auto">
      <Animate
        image={Image({ prompt: "friendly robot, blue metallic", aspectRatio: "9:16" })}
        motion="robot talking, subtle head movements"
        model={fal.videoModel("wan-2.5")}
      />
      <Speech voice="adam" model={elevenlabs.speechModel("turbo")}>
        Hello! I'm your AI assistant. Let's create something amazing!
      </Speech>
    </Clip>
  </Render>,
  { output: "output/talking-robot.mp4" }
);

See references/templates.md for more templates.

Running Videos

bun run 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_API_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 bun scripts/setup.ts to initialize project
  2. Add your FAL_API_KEY to .env
  3. Run bun run examples/my-first-video.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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

27.51%
按下载量换算36

windsurf

26.35%
按下载量换算35

OpenCode

18.02%
按下载量换算24

Cursor

12.59%
按下载量换算16

Codex

8.67%
按下载量换算11

trae

3.73%
按下载量换算5

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。

来源信息

继续浏览同类 Skills