{"enrichment":{"faq":[{"a":"extracting-structure pulls titled chapters with exact timestamps directly from videos you've already watched. The skill indexes your content and returns structured chapter data without requiring re-processing. Use this to organize long-form videos into navigable segments for viewers or your own reference.","q":"How do I extract chapters from video with timestamps?"},{"a":"Yes. extracting-structure analyzes screen recordings to locate bugs, pinpoint exact frames where errors occur, and extract on-screen error text via OCR. It then structures this data into a fileable bug report complete with reproduction steps, so you can hand it directly to developers without manual transcription.","q":"Can extracting-structure turn screen recordings into bug reports?"},{"a":"extracting-structure identifies the exact frame and location where bugs surface in your screen recording. It captures error messages visible on screen and timestamps the moment the issue occurs, giving you precise coordinates to reference when filing reports or communicating with your team.","q":"Where does the bug appear in this recording?"},{"a":"extracting-structure analyzes your opening sequence across multiple axes: attention capture, pacing, visual composition, and on-screen text effectiveness. It delivers actionable critiques on hook strength so you can refine your intro performance and improve viewer retention from the first frames.","q":"How does extracting-structure score video intro quality?"},{"a":"No. extracting-structure works from a persistent index of videos you've already watched, so all answers\u2014chapters, bug locations, hook scores\u2014come straight from that index with no extra model calls or re-processing needed. Results are instant and consistent.","q":"Does extracting-structure require re-watching videos?"},{"a":"extracting-structure is released under the MIT license, allowing you to use, modify, and distribute it freely within the terms of that license.","q":"What license does extracting-structure use?"}],"shadow_tags":["video-analysis","timestamp-extraction","error-detection","content-creator-tools","automated-indexing","frame-pinpointing","deterministic-extraction","creator-optimization"],"summary_rewrite":"Pull structured data from videos you've already watched: titled chapters with timestamps for long content, pinpointed bug reports with error frames and OCR text, or opening-hook analysis scored across attention, pacing, visuals, and on-screen text. All answers come straight from the persistent index with no extra model calls."},"files":[{"bytes":1976,"path":"adapters/claude-skill/skills/extracting-structure/SKILL.md","sha256":"5fca0702b26d8612398904231b5ad278d55d8307b9c1f233e20b0c1a984b391d","url":"https://skillfed.io/files/oxbshw/watch-skill/extracting-structure/1a029e82/SKILL.md"}],"id":"oxbshw/watch-skill/extracting-structure","links":{"html":"https://skillfed.io/oxbshw/watch-skill/extracting-structure","md":"https://skillfed.io/oxbshw/watch-skill/extracting-structure.md","repo":"https://github.com/oxbshw/watch-skill"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":36,"language":"Python","last_updated":"2026-07-12","license":"MIT","name":"extracting-structure","publisher":"oxbshw","stars":236},"relations":{"categories":["video-analysis","content-creation","bug-reporting"],"similar":[{"id":"oxbshw/watch-skill/watching-videos"},{"id":"oxbshw/watch-skill/sharing-results"},{"id":"oxbshw/watch-skill/video-memory"},{"id":"oxbshw/watch-skill/asking-with-evidence"},{"id":"oxbshw/watch-skill/the-loop"},{"id":"oxbshw/watch-skill/watch"},{"id":"oxbshw/watch-skill/learning-from-mistakes"},{"id":"oxbshw/watch-skill/configuring-vision"},{"id":"oxbshw/watch-skill/recovering-from-errors"},{"id":"cdeistopened/skill-stack/podcast-production"}]},"slug":{"owner":"oxbshw","repo":"watch-skill","skill":"extracting-structure"},"version":"1a029e82"}