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Chengfeng Videocut Workbench

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Agentchengfeng
chengfeng-videocut-workbench

操作 chengfeng-videocut 剪辑工作台的已有工程,通过 Runtime CLI 查工程与词句位置、添加或替换画面覆盖层、移除画面、删除明确指定的词句或片段、拆分裁剪移动已有片段、调整画布比例并回读核验。用户说插入片段、删掉这句、移除动画、换个画面、调整顺序或管理时间线时使用;先区分画面覆盖与主轨顺延插入,不负责自动判断口误、创作动画、制作字幕、导出或排查安装故障。

Overview

PublisherAgentchengfeng
Repositorychengfeng-videocut-skills
Skill namechengfeng-videocut-workbench
Stars
3.1K
Forks
391
Bundled files
6
LicenseApache-2.0
Links
  • 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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Agentchengfeng on GitHub. Read the source before you install it.

Installation

Install the Chengfeng Videocut Workbench AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-videocut-workbench
  4. 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.
2

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/Agentchengfeng/chengfeng-videocut-skills.git /tmp/chengfeng-videocut-skills
mkdir -p .claude/skills
cp -r /tmp/chengfeng-videocut-skills/plugins/chengfeng-videocut/skills/chengfeng-videocut-workbench .claude/skills/chengfeng-videocut-workbench
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chengfeng Videocut Workbench 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 Chengfeng Videocut Workbench 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 Chengfeng Videocut Workbench 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.

工作台操作

把明确的编辑要求变成现有 CLI 操作,始终在同一工程回读结果。不是另一套编辑引擎,也不是每次使用其他 Skill 前的必读入口。

先辨认动作

用户要做什么本 Skill 的路径
看当前工程、找一句话、看已有片段和画面只读定位,见 操作方法
在一句话上放动画或视频,保留原口播画面覆盖;时间线不加长,见 操作方法
删除画面、词句或片段区分对象与声音影响,见 删除方法
分成两段、缩短一段、调换已有片段顺序EDL 修改,见 操作方法
改横竖比例、画面铺满或完整显示分清工程画布和媒体 fit,见 操作方法
在主时间线任意位置插新素材并顺延先查当前能力;没有通用插入命令就明确缺口,不把覆盖或移位冒充插入

用户说“插入”时,先判断是盖画面且口播继续,还是添加新时长、让后面顺延;说“删除”时,先判断是移除画面还是剪掉声音与时间。意图已明确就执行,不重复追问;重复句、重用素材或目标不唯一时,列出位置供确认,不凭文本猜实例。

需要自动判断口误、重复和保留哪一版,交给剪口播 Skill;字幕内容与排版交给字幕 Skill;镜头/动画创作交给相应设计 Skill;成片输出交给导出 Skill;连接故障和升级交给维护与排障。不自动启动额外 Agent,也不自动安装缺失 Skill。

一次操作的固定流程

  1. 连接:首次或身份变化时完整读 连接与提交。保留已确认的 Runtime 参数数组、显式 origin、服务器 projectId 和能力,不每个动作重新发现环境。
  2. 读取:仅读相关文档;保存文档自己的 revision、目标 ID、原值和预期结果。词句定位必要时分页完整读取,确认源身份和实例;不能拿字幕 cue ID 当 word ID。
  3. 计划:简短说明会改哪个对象、是否缩短时间/影响声音。用户已明确授权的范围不反复确认;新影响(额外移除关联层等)须先取得授权。
  4. 提交:按实际 workbench commands --json 的字段和模式调用。写操作的 --confirmed 表示已有授权,不是授予 Agent 权限的开关。编辑正式工程只通过 Runtime,不直接改工程 JSON。
  5. 核验:读取受影响资源,核对 ID、差异和时长,必要时检查词锚点、字幕状态及画面时序。连做多个 patch 时前一步成功回读后才构造下一步;这不是原子批量事务。
  6. 交付:分别说明数据已写入、画面/声音是否实际复核、未支持或未验证项。提交成功不等于预览/成片通过,页面没刷新也不等于没写入,先回读,不能再次提交来“刷新”。

失败就收住写入

  • 冲突:重新读当前差异,旧批准不能通过替换成新 revision 自动重放;确认新的目标和影响后才另作计划。
  • 超时、断连或 readback 失败:结果可能已写入,保存原请求和身份。按对应资源、资产哈希或原 operationId 精确查询;找不到也不证明未提交。不换 ID 盲重试。
  • 资源不足、歧义目标、缺 capability:报告具体卡点,保留现有工程。不自动升级、重启、重转录、改 registry 或切到其他工具。
  • 不提供通用撤销/重做、音量混音、播放控制或任意位置新媒体顺延插入的虚构命令。playback 是读取播放词流,operation-recover 是受限事务恢复,不是任意 undo。
  • 删除仅指工程中的指定对象;不清理原视频、录音、已导入资产、模块文件或缓存。

典型请求

  • “在第二句上盖这段 MP4,声音不动。” → 定位真实词 ID、导入媒体、保留旧层新增覆盖、回读。
  • “把刚加的小黑动画移除。” → 定位唯一 layer,只移除该层;不剪口播,不删动画源文件。
  • “把第三次说的这句删掉,后面接上。” → 核实第三个实例,走已支持的词/片段删除流程并核验新时长。
  • “把第一段分两半,再把后半放到结尾。” → 使用片段局部剪后秒数拆分,回读新 ID,再按磁性时间线规则移动。

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 Chengfeng Videocut Workbench AI skill do?

操作 chengfeng-videocut 剪辑工作台的已有工程,通过 Runtime CLI 查工程与词句位置、添加或替换画面覆盖层、移除画面、删除明确指定的词句或片段、拆分裁剪移动已有片段、调整画布比例并回读核验。用户说插入片段、删掉这句、移除动画、换个画面、调整顺序或管理时间线时使用;先区分画面覆盖与主轨顺延插入,不负责自动判断口误、创作动画、制作字幕、导出或排查安装故障。

Why use Chengfeng Videocut Workbench on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-videocut-workbench. 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 Chengfeng Videocut Workbench?

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 Chengfeng Videocut Workbench?

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

Is the Chengfeng Videocut Workbench AI skill free?

Yes. It is published on GitHub by Agentchengfeng under the Apache-2.0 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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