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BytesAgainBytesAgain
πŸ¦€ ClawHub

Linkedin Video

by @vcarolxhberger

convert raw video footage into LinkedIn-ready videos with this linkedin-video skill. Works with MP4, MOV, AVI, WebM files up to 500MB. professionals and mark...

Versionv1.0.0
πŸ’‘ Examples

> Share your raw video footage and I'll get started on AI video optimization. Or just tell me what you're thinking.

Try saying:

  • "convert my raw video footage"
  • "export 1080p MP4"
  • "trim silences, add captions, and format"
  • 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.

    LinkedIn Video β€” Format and Export LinkedIn Videos

    Drop your raw video footage in the chat and tell me what you need. I'll handle the AI video optimization on cloud GPUs β€” you don't need anything installed locally.

    Here's a typical use: you send a a 2-minute talking-head recording from a webcam, ask for trim silences, add captions, and format for LinkedIn feed, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

    One thing worth knowing β€” keep videos under 3 minutes for best LinkedIn engagement.

    View on ClawHub
    TERMINAL
    clawhub install linkedin-video

    πŸ§ͺ Use this skill with your agent

    Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.

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