Videocut Subtitle

Community

zrt-ai-lab

videocut-subtitle

字幕生成与烧录。转录→词典纠错→审核→烧录。触发词：加字幕、生成字幕、字幕

Overview

Publisher	zrt-ai-lab
Repository	`opencode-skills`
Skill name	`videocut-subtitle`
Stars	293
Forks	75
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by zrt-ai-lab on GitHub. Read the source before you install it.

Installation

Install the Videocut Subtitle 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/zrt-ai-lab/opencode-skills/tree/main/videocut-subtitle
Enable the skill in any chat where you want it available.

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/zrt-ai-lab/opencode-skills.git /tmp/opencode-skills
mkdir -p .claude/skills
cp -r /tmp/opencode-skills/videocut-subtitle .claude/skills/videocut-subtitle

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

Use it in TypingMind

Enable Videocut Subtitle 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 Videocut Subtitle 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 Videocut Subtitle 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.

字幕

转录 → 纠错 → 审核 → 匹配 → 烧录

流程


1. 转录视频（Whisper）
    ↓
2. 词典纠错 + 分句
    ↓
3. 输出字幕稿（纯文本，一句一行）
    ↓
【用户审核修改】
    ↓
4. 用户给回修改后的文本
    ↓
5. 我匹配时间戳 → 生成 SRT
    ↓
6. 烧录字幕（FFmpeg）

转录

使用 OpenAI Whisper 模型进行语音转文字：

bash
whisper video.mp4 --model medium --language zh --output_format json

模型	用途
`medium`	默认，平衡速度与准确率
`large-v3`	高精度，较慢

输出 JSON 包含逐词时间戳，用于后续 SRT 生成。

字幕规范

规则	说明
一屏一行	不换行，不堆叠
≤15字/行	超过15字必须拆分（4:3竖屏）
句尾无标点	`你好` 不是 `你好。`
句中保留标点	`先点这里，再点那里`

词典纠错

读取 词典.txt，每行一个正确写法：


skills
Claude
iPhone

我自动识别变体：claude → Claude

字幕稿格式

我给用户的（纯文本，≤15字/行）：


今天给大家分享一个技巧
很多人可能不知道
其实这个功能
藏在设置里面
你只要点击这里
就能看到了

用户修改后给回我，我再匹配时间戳生成 SRT。

样式

默认：24号白字、黑色描边、底部居中

可选样式：

样式	说明
默认	白字黑边
黄字	黄字黑边（醒目）

用户可说：

"字大一点" → 32号
"放顶部" → 顶部居中
"黄色字幕" → 黄字黑边

输出


01-xxx_字幕稿.txt   # 纯文本，用户编辑
01-xxx.srt          # 字幕文件
01-xxx-字幕.mp4     # 带字幕视频

Bundled files

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

词典.txt1 KB

Frequently asked questions

What does the Videocut Subtitle AI skill do?

字幕生成与烧录。转录→词典纠错→审核→烧录。触发词：加字幕、生成字幕、字幕

Why use Videocut Subtitle on TypingMind?

Because you install it once and use it with any model. Videocut Subtitle 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 Videocut Subtitle in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-subtitle. 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 Videocut Subtitle?

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 Videocut Subtitle?

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

Is the Videocut Subtitle AI skill free?

It is published on GitHub by zrt-ai-lab. Check the repository for licensing terms. 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.

View all

Facetime

openclaw

OrganizationPopular

Inspect FaceTime internal stages, place an approved call to a configured owner handle, and request hangup through facetime_call.

Camsnap

Capture frames or clips from RTSP/ONVIF cameras and local webcams, including USB pan/tilt/zoom control.

Content Engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content…

Fal Ai Media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

字幕

流程

转录

字幕规范

词典纠错

字幕稿格式

样式

输出

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now