What problem does it solve? Turning a long podcast, webinar, or recording into a batch of posting-ready short clips normally requires manual scrubbing, cropping, captioning, and copywriting for every platform. This Skill automates that entire pipeline through the OpenClip MCP server, from source submission to a ranked set of captioned vertical clips with post copy. ## Core Features & Use Cases - End-to-end batch workflow: Submit one long video, poll the clipping pipeline, review moments ranked by virality score, and render only the approved picks with captions. - Platform-specific output: Produces 9:16 vertical clips by default, with free cropping to 1:1, 4:5, or 16:9 for Instagram feed, X, and LinkedIn. - Repeatable branding: Save a processing agent with fixed caption presets, composition, and watermark so every future batch looks identical. - Use Case: A podcaster asks for "10 TikToks from this episode" and receives ten captioned vertical clips, each with a title, hook, social copy, duration, and virality score, ready to post. ## Quick Start Ask your agent to turn this podcast episode into ten captioned TikTok clips using OpenClip and approve the shortlist before rendering.