What problem does it solve?
Turning raw news footage (press conferences, interviews, on-site recordings, surveillance clips) into a tight, factual short news video normally requires hours of manual review and cutting. This Skill automates the rough-cut process inside OpenChatCut while strictly preserving factual accuracy and the original meaning of every speaker.
Core Features & Use Cases
- Footage Analysis & Topic Selection: Reads the project, transcribes tracks, and inspects timeline frames to identify the core news event, key people, and the single strongest storyline before cutting.
- Rule-Based Rough Cutting: Keeps core facts, key statements, and essential on-site footage; removes ads, filler, repetition, and off-topic content, with speech always cut at complete sentence boundaries via word-level transcript editing.
- Strict Audio Discipline: Uses only the original sound from user-selected news sources—never adds background music, voiceover, or sound effects—and smooths cut points with fades.
- Use Case: A journalist drops 40 minutes of press conference footage into an OpenChatCut project and asks for a rough cut; the Skill produces a compact news clip that opens with the key conclusion and passes a mandatory acceptance checklist.
Quick Start
Rough cut the selected news footage in my current OpenChatCut project into a short factual news video without adding any music or voiceover.
