frago-x-extract-tweet-with-comments

Tweet and comment extraction from X automates material collection by providing a target tweet URL. The Skill scrapes tweets and associated comments, saves them incrementally to outputs/ with source traceability, and generates structured narration drafts in jsonl and markdown formats for end-to-end production workflows.

Yes. The Skill collects opinions from X comments, organizes them thematically, and produces three outputs: 01_draft.jsonl for raw material, 02_content_draft.md for categorized viewpoints, and 03_narration.md as a structured narration script ready for video production.

Tweet extraction requires jq for JSON processing and ffprobe for media analysis. These tools handle output formatting and content validation during the incremental collection and narration generation workflow.

Provide a target tweet URL to start the workflow. The Skill extracts comments, categorizes viewpoints into thematic groups, records sources for provenance, and stages outputs incrementally so you can review and refine opinions before final narration generation.

The Skill is designed for single-tweet extraction with associated comments. For multi-thread aggregation, you would run it per tweet URL and combine outputs manually or through post-processing of the generated narration markdown files.

Automated extraction eliminates manual copying, ensures source traceability, organizes opinions into themes automatically, and generates draft narration scripts in markdown—reducing scraping and drafting time across Twitter videos and netizen opinion aggregation workflows.