TikTok Repurposing AI Agent

What this agent does

One good long-form video usually has five short clips hiding inside it, but cutting them by hand means re-watching the whole thing with a stopwatch. This agent finds the strongest moments in a long-form video and turns each one into a short, captioned clip ready to post.

1. stage-1-highlight-detect — analyzes the video's transcript and pacing to identify 5 standalone moments that work without the surrounding context (a strong hook, a complete thought, a punchline).
2. stage-2-clip-caption — cuts each identified segment, generates burned-in captions synced to the audio, and writes a short platform-native caption + hashtag set for each clip.

Every run saves the 5 clips plus their captions into a dated output folder, ready to review and post.

Requirements

• A video file (local, or a URL Claude AI can fetch) with clear spoken audio — this agent relies on the transcript for highlight detection, so heavily music-only content won't work well.
• Works on Claude AI (Claude Code, with a local video-processing tool like ffmpeg available on the machine) for the cutting/captioning step.
• ffmpeg installed locally for video cutting and caption burn-in — this is the only external dependency.

Setup

1. Unzip the package into your workspace, keeping the folder structure intact.
2. Confirm ffmpeg is installed and on your PATH (ffmpeg -version to check).
3. Fill in your preferred clip length range and caption style.
4. Run the starter prompt against a sample video to see the full pipeline end to end.
5. For a recurring workflow (e.g. every new upload in a watched folder), adapt the automation pattern to your folder-watching setup.

What you get

• The 5 strongest standalone moments automatically identified in any long-form video, no manual scrubbing
• Cut clips with burned-in, audio-synced captions ready to post
• A platform-native caption and hashtag set written for each clip
• A dated output folder with all 5 clips and captions ready to review and post