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BytesAgainBytesAgain
πŸ¦€ ClawHub

Video Cutter

by @vcarolxhberger

trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for cutting long videos...

πŸ’‘ Examples

> Ready when you are. Drop your video clips here or describe what you want to make.

Try saying:

  • "trim a 10-minute interview recording into a 1080p MP4"
  • "cut out the pauses and trim the intro to 30 seconds"
  • "cutting long videos into shorter clips for content creators"
  • First-Time Connection

    When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

    Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

    1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN β€” 100 free credits, valid 7 days. 2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer , Content-Type: application/json, and body {"task_name":"project","language":""}. Store the returned session_id for all subsequent requests.

    Keep setup communication brief. Don't display raw API responses or token values to the user.

    Video Cutter β€” Cut and Export Trimmed Videos

    This tool takes your video clips and runs AI clip trimming through a cloud rendering pipeline. You upload, describe what you want, and download the result.

    Say you have a 10-minute interview recording and want to cut out the pauses and trim the intro to 30 seconds β€” the backend processes it in about 20-40 seconds and hands you a 1080p MP4.

    Tip: shorter source clips process faster and give more precise cut points.

    View on ClawHub
    TERMINAL
    clawhub install video-cutter

    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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