x-post-extractor

To extract X posts from a stream transcript, this Skill parses raw transcripts or parsed.json files to identify discovery moments and results, scoring them to output copy-paste ready Twitter content. It handles deduplication and writes media-ready text to the x_posts_output folder.

Yes, you can generate Twitter threads automatically from raw video transcripts. The Skill processes raw transcripts directly, detects high-impact discovery moments, and formats them into copy-paste ready threads with media requests in the x_posts_output folder.

The best way to surface high-engagement moments from a stream transcript is using automated scoring. This Skill analyzes transcripts, scores discovery moments and results by impact, and deduplicates them to prioritize only the highest-quality content for X posts.

The X post extractor works with both parsed.json files and raw transcripts. It handles parsing from either input format, extracts high-quality shareable moments, and writes the finalized post and thread content to the x_posts_output folder.

To avoid duplicate X posts when extracting content from stream transcripts, this Skill automatically deduplicates detected moments during processing. This ensures the finalized copy-paste ready text written to the x_posts_output folder contains only unique, high-impact posts and threads.