From Raw Footage to Game-Day Highlight Reel

Most sports footage is 90% waiting and 10% action. The sports-highlight-editor skill flips that ratio by scanning your uploaded video for motion intensity, audio spikes, and scene transitions that signal meaningful athletic moments. Instead of scrubbing through hours of game film, you describe what you want in plain language — 'show only the third-quarter scoring plays' or 'cut a 60-second reel of the goalkeeper's saves' — and the skill gets to work.

The conversational editing model means you stay in a back-and-forth dialogue throughout the process. Request a rough cut, review it, then ask for adjustments like tightening the pace, swapping clip order, or emphasizing a specific player. Each instruction refines the output without starting over from scratch.

Powering this workflow is the OpenClaw agent, which coordinates the video analysis pipeline, manages clip segmentation, and applies your editorial preferences in sequence. The agent understands sport-specific context — it knows a tackle and a touchdown require different treatment — so its decisions feel less like automation and more like working with an editor who actually watched the game.

Environment Variables

If NEMO_TOKEN is not set, get one (requires X-Client-Id header):