Chatgpt Short Video Editor

Community

Jaycheng1103

chatgpt-short-video-editor

Edit a user-supplied video into a vertical Reel, Short, TikTok, video diary short, or an approved eight-step AI short-video workflow. Use when the user provides or points to media and asks to transcribe, cut, subtitle, preview, or export a vertical short. Do not use for environment-only setup or generic Premiere Pro or CapCut help.

Overview

Publisher	Jaycheng1103
Repository	`chatgpt-video-editing-skills`
Skill name	`chatgpt-short-video-editor`
Stars	584
Forks	94
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Jaycheng1103 on GitHub. Read the source before you install it.

Installation

Install the Chatgpt Short Video Editor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Jaycheng1103/chatgpt-video-editing-skills/tree/main/skills/chatgpt-short-video-editor
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Jaycheng1103/chatgpt-video-editing-skills/tree/main/skills/chatgpt-short-video-editor

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Jaycheng1103/chatgpt-video-editing-skills.git /tmp/chatgpt-video-editing-skills
mkdir -p .claude/skills
cp -r /tmp/chatgpt-video-editing-skills/skills/chatgpt-short-video-editor .claude/skills/chatgpt-short-video-editor

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chatgpt Short Video Editor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chatgpt Short Video Editor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chatgpt Short Video Editor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ChatGPT Short-video Editor

Create a safe, evidence-backed vertical short from user-provided media. This Skill starts only when a source file or clear source location is available.

Boundary and prerequisites

Inspect the source with ffprobe; never overwrite, move, rename, or delete it. Put every new artifact beside the source in <source-directory>/edit/.
Check that the installed video-use workflow, FFmpeg, ffprobe, and ElevenLabs Scribe v2 are available for the documented full-precision path. Do not install, clone, update, or repair anything silently. If a dependency is missing, hand off to chatgpt-video-editing-setup and state what must be verified first.
Before the first upload of a source file to ElevenLabs, name the file, say it is for ElevenLabs Scribe v2 transcription, mention possible quota or cost, and wait for explicit consent. Do not upload before that consent.
Read the eight-step workflow, then the production rules, before editing.

Required sequence

Follow these eight steps exactly: 素材檢查、逐字轉寫、內容整理、剪輯決策、逐段粗剪、轉色／圖卡／字幕、混音與完整預覽、QA 與正式定稿.

After the first three steps, propose a 4–8 sentence, plain-language editing strategy and wait for approval. Until approval, do not choose edit points or add B-roll, animations, music, effects, CTA, or a publishing schedule. Treat these as opt-in creative decisions, not defaults.

Use word-level verbatim timestamps, cached per unchanged source. Never cut inside a word. Keep 30–200ms padding around cut edges, work per segment, and use output-timeline subtitle timing. Subtitles are the last visual operation.

Render a complete 720p preview first. Inspect the rendered preview, not only the source; make no more than three evidence-based self-fix passes. After the preview is approved, render the 1080×1920 final and verify that final file before delivery. Never say a transcript, preview, QA pass, or final is complete without the corresponding verified output.

Handoff and delivery

If the requested operation exceeds this workflow, explain the safe stopping point. For environment gaps, use chatgpt-video-editing-setup; it must obtain approval before mutations and does not begin creative work.

Keep and report the artifacts defined in the output contract. Present only one formal final outwardly, with its evidence-backed QA report.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Chatgpt Short Video Editor AI skill do?

Why use Chatgpt Short Video Editor on TypingMind?

Because you install it once and use it with any model. Chatgpt Short Video Editor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chatgpt Short Video Editor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jaycheng1103/chatgpt-video-editing-skills/tree/main/skills/chatgpt-short-video-editor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Chatgpt Short Video Editor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chatgpt Short Video Editor?

As many as you like. As long as a model supports skills, you can use Chatgpt Short Video Editor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chatgpt Short Video Editor AI skill free?

Yes. It is published on GitHub by Jaycheng1103 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

ChatGPT Short-video Editor

Boundary and prerequisites

Required sequence

Handoff and delivery

Bundled files

Frequently asked questions

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