I traced 463 AI video prompts back to their source clips and open-sourced the workflow

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I’ve been collecting AI video examples and trying to answer a practical question: when a clip looks good, what parts of its prompt are actually reusable? I turned the notes into Awesome Seedance, an open-source collection with 463 cases linked to original posts, 264 cross-model retest runs with verdicts, 25 copy-ready templates, and 60 installable AI-video Skills. The README also has a five-step path for someone starting from one clip rather than browsing the whole library. One lesson from the retests: camera behavior often matters more than piling on ‘cinematic’ adjectives. For handheld UGC, specifying the device and its flaws can make a bigger difference than asking for 4K lighting. Repo: https://github.com/LearnPrompt/awesome-seedance I’d love feedback on whether the case-to-template path is clear, and which video types deserve deeper retests next.   submitted by   /u/New-Efficiency-3087 [link]   [comments]