Videocut Clip

Community

zrt-ai-lab

videocut-clip

执行视频剪辑。根据确认的删除任务执行FFmpeg剪辑，循环直到零口误，生成字幕。触发词：执行剪辑、开始剪、确认剪辑

Overview

Publisher	zrt-ai-lab
Repository	`opencode-skills`
Skill name	`videocut-clip`
Stars	293
Forks	75
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by zrt-ai-lab on GitHub. Read the source before you install it.

Installation

Install the Videocut Clip 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-clip
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-clip .claude/skills/videocut-clip

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

Use it in TypingMind

Enable Videocut Clip 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 Clip 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 Clip 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.

剪辑

执行删除 → 重新审查 → 循环直到零口误 → 生成字幕

快速使用


用户: 确认，执行剪辑
用户: 全删
用户: 保留静音3和5，其他都删

前置条件

需要先执行 /videocut:剪口播 生成删除任务 TodoList

流程


1. 读取用户确认的删除任务
    ↓
2. 计算保留时间段
    ↓
3. 生成 FFmpeg filter_complex
    ↓
4. 执行剪辑
    ↓
5. 重新转录 + 审查 ←───┐
    ↓                   │
   有口误? ──是─────────┘
    ↓ 否
6. 生成字幕（SRT）
    ↓
7. 完成

进度 TodoList

启动时创建：


- [ ] 确认删除任务
- [ ] 执行 FFmpeg 剪辑
- [ ] 重新转录审查
- [ ] 生成字幕

循环时更新版本号（v2→v3→...）

一、读取删除任务（时间戳驱动）

从 /videocut:剪口播 输出的 TodoList 读取。直接使用时间戳，不要搜索文本：


口误（N处）：
- [x] 1. `(start-end)` 删"错误文本" → 保留"正确文本"  ← 勾选=删除

语气词（N处）：
- [x] 1. `(前字end-后字start)` 删"嗯"  ← 勾选=删除

静音（N处）：
- [x] 1. `(start-end)` 静音Xs  ← 勾选=删除
- [ ] 2. `(start-end)` 静音Xs  ← 未勾选=保留

⚠️ 关键规则

直接用时间戳：从 (start-end) 解析，不要搜索文本
不要重新搜索：审查稿已经计算好精确时间戳
勾选 = 删除，未勾选 = 保留

二、FFmpeg 命令

bash
ffmpeg -y -i input.mp4 \
  -filter_complex_script filter.txt \
  -map "[outv]" -map "[outa]" \
  -c:v libx264 -crf 18 -c:a aac \
  output.mp4

filter.txt 格式


[0:v]trim=start=0:end=1.36,setpts=PTS-STARTPTS[v0];
[0:a]atrim=start=0:end=1.36,asetpts=PTS-STARTPTS[a0];
[0:v]trim=start=2.54:end=10.5,setpts=PTS-STARTPTS[v1];
...
[v0][a0][v1][a1]...concat=n=N:v=1:a=1[outv][outa]

三、重新转录审查

剪辑后必须：

用 FunASR 重新转录
检查是否还有口误
有 → 回到 /videocut:剪口播 重新识别
无 → 生成字幕

四、输出文件


01-xxx-v2.mp4              # 剪辑后视频
01-xxx-v2_transcript.json  # 重新转录（验证用）
01-xxx-v2.srt              # 字幕文件

版本递增：v1→v2→v3...

五、反馈记录

2026-01-15

语气词删除边界不精确：删语气词时把前面的字也删了
- 原因：直接用语气词的时间戳删除
- 正确：从前一字 end 到后一字 start
语气词 + 静音要一起删：A [静音] 语气词 B 要删整段 (A.end - B.start)
教训：删除语气词时，边界是 前一字.end 到 后一字.start

2026-01-14

口误文字没删干净，只删了静音段
教训：直接从 TodoList 读取时间戳，不要重新查找
"拉满新"删成了"会的时候"：搜索"拉满新"时间戳跨度7秒（含6秒静音），把"拉满"也删了
- 教训：对于"删前面保后面"的口误，只删差异部分
"AI就是AI"出现两次AI：只删了"就是"，没删第一个"AI"
- 教训：替换型口误必须删完整的第一个版本
系统性解决：时间戳驱动，审查稿直接标注 (start-end)，剪辑脚本不再搜索文本

Frequently asked questions

What does the Videocut Clip AI skill do?

执行视频剪辑。根据确认的删除任务执行FFmpeg剪辑，循环直到零口误，生成字幕。触发词：执行剪辑、开始剪、确认剪辑

Why use Videocut Clip on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Videocut Clip?

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 Clip?

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

Is the Videocut Clip 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

剪辑

快速使用

前置条件

流程

进度 TodoList

一、读取删除任务（时间戳驱动）

⚠️ 关键规则

二、FFmpeg 命令

filter.txt 格式

三、重新转录审查

四、输出文件

五、反馈记录

2026-01-15

2026-01-14

Frequently asked questions

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