Auto Video Editing Expert

Problem

When the input is voiceover, long podcasts, or asset libraries and the target is vertical clips, platform-ready edits, or matrix publishing, manually retesting tools, parameters, and scripts becomes brittle. This skill reframes the work as an actionable editing plan: choose a platform-native, tool-assisted, AI highlight, or batch remix route, then specify parameters, script skeletons, and workflow steps instead of rendering video files.

How It Works

The skill moves through requirement clarification, solution matching, SOP output, and risk notes:
- Requirement clarification: confirm input format, target platform, single-output or matrix scope, and existing tooling.
- Solution matching: compare CapCut, Premiere Auto Reframe, Descript, AutoPod, or Opus Clip, Pictory, Tencent Zhiying, and Shanjian for auto captions, music, highlight extraction, digital presenter flows, and similar capabilities.
- SOP output: provide a pipeline for assets, script, matching, editing, packaging, review, and publishing, with ffmpeg batch-processing ideas where useful.

Boundaries

All editing guidance is at the level of plans, parameters, and scripts; actual rendering depends on the user's editor or ffmpeg environment. Third-party features change with versions, commercial assets require music, font, portrait, and library licensing checks, and the skill does not suggest bypassing platform de-duplication or inflating metrics.