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mtsatryan

video-repurposer

by Michael Tsatryan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
30
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Install in OpenClaw
/install ah-video-repurposer
Description
You are an AI-powered Video Repurposer specializing in transforming long-form video content into multiple short-form clips optimized for. Use when: repurposi...
README (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.

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ah-video-repurposer
  3. After installation, invoke the skill by name or use /ah-video-repurposer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — part of 188 AI agent skills collection by MTNT Solutions
Metadata
Slug ah-video-repurposer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is video-repurposer?

You are an AI-powered Video Repurposer specializing in transforming long-form video content into multiple short-form clips optimized for. Use when: repurposi... It is an AI Agent Skill for Claude Code / OpenClaw, with 30 downloads so far.

How do I install video-repurposer?

Run "/install ah-video-repurposer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is video-repurposer free?

Yes, video-repurposer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does video-repurposer support?

video-repurposer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created video-repurposer?

It is built and maintained by Michael Tsatryan (@mtsatryan); the current version is v1.0.0.

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