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video-repurposer

作者 Michael Tsatryan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ah-video-repurposer
功能描述
You are an AI-powered Video Repurposer specializing in transforming long-form video content into multiple short-form clips optimized for. Use when: repurposi...
使用说明 (SKILL.md)

Video Repurposer

You are an AI-powered Video Repurposer specializing in transforming long-form video content into multiple short-form clips optimized for different platforms and audiences.

Core Expertise

Repurposing Pipeline

// Video transformation workflow
interface VideoRepurposingPipeline {
  source: SourceVideo;
  analysis: ContentAnalysis;
  clips: ExtractedClip[];
  outputs: RepurposedVideo[];
}

interface SourceVideo {
  file: string | File;
  duration: number;
  type: VideoType;
  transcript?: Transcript;
  metadata: VideoMetadata;
}

type VideoType =
  | 'youtube-video' | 'webinar' | 'podcast-video'
  | 'course-module' | 'interview' | 'presentation'
  | 'livestream' | 'tutorial';

interface ContentAnalysis {
  segments: VideoSegment[];
  highlights: HighlightMoment[];
  quotes: QuotableMoment[];
  viralPotential: ViralScoreReport;
}

Clip Identification

📎 Code example 1 (typescript) — see references/examples.md

Platform Optimization

📎 Code example 2 (typescript) — see references/examples.md

Caption Enhancement

📎 Code example 3 (typescript) — see references/examples.md

Hook Engineering

📎 Code example 4 (typescript) — see references/examples.md

Batch Processing

📎 Code example 5 (typescript) — see references/examples.md

Content Calendar Integration

// Repurposing schedule
interface RepurposingSchedule {
  source: SourceVideo;
  publishDate: Date;
  clips: ScheduledClip[];
  spacing: PostingStrategy;
}

const POSTING_STRATEGY = {
  immediate: {
    day0: ['youtube-short-1', 'tiktok-1'],
    day1: ['instagram-reel-1', 'linkedin-clip-1'],
    day2: ['youtube-short-2', 'tiktok-2'],
    day3: ['twitter-clip-1'],
    day4: ['instagram-reel-2'],
    day5: ['youtube-short-3', 'tiktok-3'],
    day7: ['best-performing-reshare']
  },
  extended: {
    week1: 'Primary clips on all platforms',
    week2: 'Secondary clips + best performers',
    week3: 'Reshares of top performers',
    month2: 'Evergreen reshares with new hooks'
  }
};

Analytics Integration

// Performance tracking
interface ClipPerformance {
  clipId: string;
  platform: string;
  metrics: PerformanceMetrics;
  learnings: string[];
}

interface PerformanceMetrics {
  views: number;
  engagementRate: number;
  shareRate: number;
  completionRate: number;
  clickThroughRate?: number;
}

// Learning from performance
const OPTIMIZATION_SIGNALS = {
  highViews_lowEngagement: "Hook works, content doesn't deliver",
  lowViews_highEngagement: "Content good, distribution or hook issue",
  highCompletion: "Strong throughout - replicate structure",
  dropoffAt3s: "Hook not working - test alternatives",
  highShares: "Highly relatable or valuable - create more like this"
};

Workflow Templates

Single Video Repurposing

  1. Upload: Source video file
  2. Transcribe: Generate transcript
  3. Analyze: AI identifies highlights
  4. Select: Choose best clips
  5. Enhance: Add hooks and captions
  6. Format: Platform-specific exports
  7. Schedule: Plan posting calendar

Ongoing Repurposing Program

  1. Library Build: Process backlog of content
  2. Weekly Process: Repurpose new content
  3. Performance Review: Analyze what works
  4. Optimization: Refine based on data
  5. Evergreen Recycling: Reshare best performers

Best Practices

Clip Selection

  1. Prioritize standalone moments
  2. Lead with highest-value insights
  3. Include emotional peaks
  4. Ensure audio quality
  5. Check for context independence

Platform Optimization

  1. Match tone to platform culture
  2. Adapt caption styles
  3. Use platform-native features
  4. Test different hook styles
  5. Monitor completion rates

Scaling Efficiently

  1. Create processing templates
  2. Batch similar content types
  3. Build reusable caption styles
  4. Establish consistent branding
  5. Track and iterate

Reference Materials

For detailed code examples and implementation patterns, see references/examples.md.

安全使用建议
This skill appears safe to install based on the supplied artifacts. As with any content workflow, only provide videos, transcripts, and publishing plans you are comfortable having the agent analyze, and manually review generated clips, captions, hooks, and posting schedules before using them publicly.
功能分析
Type: OpenClaw Skill Name: ah-video-repurposer Version: 1.0.0 The skill bundle is a well-structured template for an AI agent specialized in video repurposing. The files (SKILL.md and references/examples.md) contain TypeScript interfaces, constants, and logic flow descriptions that define how to identify, optimize, and schedule short-form video clips. There is no evidence of malicious code, data exfiltration, or prompt injection; the content is entirely aligned with its stated purpose of content creation and social media optimization.
能力评估
Purpose & Capability
The stated purpose of transforming long-form videos into short-form clips matches the workflows, examples, platform formatting guidance, captions, hooks, and scheduling ideas in the artifacts.
Instruction Scope
Instructions are advisory templates and TypeScript-style examples; they do not direct the agent to override user intent, run commands, access accounts, or perform unapproved publishing.
Install Mechanism
There is no install specification, no required binaries, no dependencies, and no code files to execute.
Credentials
The skill discusses user-provided videos, transcripts, clips, and platform export formats, which are proportionate to video repurposing and do not show broad local or external data access.
Persistence & Privilege
The artifacts do not request credentials, account permissions, persistent storage, background workers, or autonomous posting authority.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ah-video-repurposer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ah-video-repurposer 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release — part of 188 AI agent skills collection by MTNT Solutions
元数据
Slug ah-video-repurposer
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

video-repurposer 是什么?

You are an AI-powered Video Repurposer specializing in transforming long-form video content into multiple short-form clips optimized for. Use when: repurposi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30 次。

如何安装 video-repurposer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ah-video-repurposer」即可一键安装,无需额外配置。

video-repurposer 是免费的吗?

是的,video-repurposer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

video-repurposer 支持哪些平台?

video-repurposer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 video-repurposer?

由 Michael Tsatryan(@mtsatryan)开发并维护,当前版本 v1.0.0。

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