Last commit on September 8, 2026·Created on April 18, 2026
nateherkai/hyperframes-student-kit
“A pipeline for transforming raw talking-head recordings into polished video content”
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TL;DR
This kit provides a structured workflow for content creators to automate the tedious stages of video editing. By leveraging transcription and specialized agents, it streamlines the process of cleaning raw footage through targeted cuts and mistake removal.
The system focuses on precision, allowing editors to identify and remove silences, stutters, repeated words, and false starts. Each cut is proposed with context for review before being rendered, ensuring the final edit maintains a natural pace and professional quality.
WHO IT'S FOR
Content creators
automate talking-head video editing workflows
Video editors
remove silences and spoken mistakes from raw footage
Social media managers
produce reels and shorts with motion graphics
AI automation engineers
build agentic video editing pipelines using ffmpeg
Want to install it?
CLI Installer · Clone to ClaudeRepository instructions