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BytesAgainBytesAgain
πŸ¦€ ClawHub

Video Leaderboard Ai

by @vcarolxhberger

Turn a batch of 10 short marketing video clips into 1080p ranked video results just by typing what you need. Whether it's comparing and ranking videos by AI-...

Versionv1.0.0
πŸ’‘ Examples

> Send me your video clips and I'll handle the AI performance ranking. Or just describe what you're after.

Try saying:

  • "rank a batch of 10 short marketing video clips into a 1080p MP4"
  • "rank these videos by engagement score and show me the top performers"
  • "comparing and ranking videos by AI-scored performance metrics for marketers"
  • Quick Start Setup

    This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

    Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response β€” this is your NEMO_TOKEN (100 free credits, 7-day expiry)
  • Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

    Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

    Video Leaderboard AI β€” Rank and Compare Video Performance

    Send me your video clips and describe the result you want. The AI performance ranking runs on remote GPU nodes β€” nothing to install on your machine.

    A quick example: upload a batch of 10 short marketing video clips, type "rank these videos by engagement score and show me the top performers", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

    Worth noting: upload videos of similar length for more accurate side-by-side comparisons.

    View on ClawHub
    TERMINAL
    clawhub install video-leaderboard-ai

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