Cut a long take into finished social or ad videos with local ffmpeg, whisper and python, keeping every edit in readable files and the footage on the machine.
boring-tools
Edit video as text. Cut a long take into finished social or ad renders using ffmpeg, whisper, and python, where every cut, caption, and graphic placement is a number in a file you can read and re-render. Use when the user hands you raw footage, says "cut this", "make the cards bigger", "put the screen beside my head", "remove that thing on the wall", "give me a 15 and a 30", or asks for captions, vertical and landscape versions, or a rebuild after a note.
소스 정보
- 저장소
- brookejlacey/boring-tools
- 최근 소스 활동
- 2026년 8월 14일 18:15
- 감지된 SKILL.md 언어
- 영어
- 스타
- 10
- 포크
- 0
boring-tools: local text-based video edits
Cut a long take into social or ad renders with local ffmpeg, whisper, and python, keeping edits in readable files and footage on the machine.
Uses
Use when you have a long take and want local, text-based cuts, captions, or vertical and landscape social or ad renders, with every decision stored in a readable file that can be rebuilt.
Prerequisites
Provide the raw footage and plain-language direction. You do not have to prepare the cut list, timeline, or rebuild script in advance. Documented tools are ffmpeg, whisper, and python on macOS, with Homebrew packages, a pinned requirements file, and a separate model download. Claude Code is described as working in the terminal or desktop app, not the browser. Those tools and models were not installed or run here.
How to use
The qualified post is a same-timestamp reply that walks through a local install and the editing workflow; the parent teaser is context only and was not given a second card. The teaser video and the linked YouTube episode were not watched. After setup, place the footage on the machine, give direction in ordinary language, keep every cut and caption decision in readable files, rebuild from those files, and report the verify numbers. Do not fetch models during a video job. Documented commands and scripts were not executed here.
Limitations
The documented host is macOS, with Apple Silicon used for the default hardware encoder; that was not tested here. Keep runtime offline, and do not execute a remote repository during a video job. The README claim that the tools do not upload footage, face, voice, or transcript, and the post wording that the video never gets uploaded, are source statements, not an independent test. Self-reported twelve-file results, the review-grid image, reporting-shape numbers, and unwatched media are not verified examples. On-screen product claims must be checkable. MIT requires notices and gives no warranty. No source skill, script, or media was executed or inspected.
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
- name
- boring-tools
- description
- Edit video as text. Cut a long take into finished social or ad renders using ffmpeg, whisper, and python, where every cut, caption, and graphic placement is a number in a file you can read and re-render. Use when the user hands you raw footage, says "cut this", "make the cards bigger", "put the screen beside my head", "remove that thing on the wall", "give me a 15 and a 30", or asks for captions, vertical and landscape versions, or a rebuild after a note.