What problem does it solve? Manually scrubbing through hours of podcasts, webinars, or streams to find shareable moments is slow and subjective. This Skill automates the process by submitting a long video to OpenClip and returning ranked viral moments with titles, hooks, social copy, and downloadable clip URLs. ## Core Features & Use Cases - Async clipping pipeline: Submit a video URL or local file upload, poll job status, and list the detected viral moments once processing completes. - Virality ranking: Each moment includes a 0-10 virality score plus sub-scores for hook strength, shareability, rewatchability, surprise, and emotional impact, so you can rank and explain picks. - Reusable processing presets: Save a processing agent with a fixed tracker model, caption preset, composition, and logo watermark so repeat runs produce identical output. - Use Case: Paste a two-hour podcast URL and ask for the top 5 moments; the Skill submits the job, polls until completion, and returns the five highest-scoring clips with ready-to-post social copy. ## Quick Start Ask your agent to clip a video by saying: clip this video and give me the top 3 viral moments from https://youtube.com/watch?v=example.