Agent skill

Videohub

by cacity in cacity/VideoHub

VideoHub 总入口。用于识别用户要处理的平台或功能,并路由到更具体的 VideoHub skills,如 YouTube、抖音、闲时队列、FFmpeg、字幕、故事剪辑、影视封面、音乐卡点剪辑和直播录制。

MITAuto-check passedMedia & Creative

Install Videohub

skills CLI
$ npx skills add cacity/VideoHub --skill videohub -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cacity/VideoHub videohub --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cacity/VideoHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/videohub .claude/skills/videohub && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
videohub
GitHub stars
167
Token cost
~405 tokens
SKILL.md length
110 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

VideoHub 总入口。用于识别用户要处理的平台或功能,并路由到更具体的 VideoHub skills,如 YouTube、抖音、闲时队列、FFmpeg、字幕、故事剪辑、影视封面、音乐卡点剪辑和直播录制。

  • Tasks that involve Video production
  • SKILL.md covers 适用场景, 路由规则, 使用原则 and 当前后端入口, plus 1 more section
  • Calls python
  • Tasks that involve Transcription

What it does

Videohub is an agent skill from cacity/VideoHub. VideoHub 总入口。用于识别用户要处理的平台或功能,并路由到更具体的 VideoHub skills,如 YouTube、抖音、闲时队列、FFmpeg、字幕、故事剪辑、影视封面、音乐卡点剪辑和直播录制。

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Video production and Transcription. It works with FFmpeg, YouTube, Python and Douyin. The repository describes itself as: VideoHub 是一款本地化多平台视频处理与智能剪辑工具,支持 YouTube、抖音/TikTok、Instagram、Bilibili 和 Twitter/X,提供视频下载、Whisper 转写、字幕翻译与润色、多模型 AI 配音、影视解说、故事剪辑、音乐卡点及剧集批量处理,并可通过 Codex、Claude Code… The licence is MIT.

When your agent uses it

  • Tasks that involve Video production
  • Tasks that involve Transcription

Example prompts

  • “/videohub”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit d1da59c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Videohub loads about 405 tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 110 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~405

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cacity/VideoHub at commit d1da59c, republished under its MIT licence (© cacity). 110 words, ~405 tokens.

Download SKILL.mdSave it as .claude/skills/videohub/SKILL.md (or your agent's skills folder).
name
videohub
description
VideoHub 总入口。用于识别用户要处理的平台或功能,并路由到更具体的 VideoHub skills,如 YouTube、抖音、闲时队列、FFmpeg、字幕、故事剪辑、影视封面、音乐卡点剪辑和直播录制。

VideoHub Router

这是 VideoHub 项目的总入口 skill。

适用场景

  • 用户只说“处理这个链接”但还没明确平台
  • 用户想知道 VideoHub 有哪些可用能力
  • 用户不确定该用哪个子 skill

路由规则

  • Douyin / 抖音链接 → videohub-douyin
  • YouTube / Twitter(X) / Bilibili / 本地音视频 / 文本转写总结 → videohub-youtube
  • 空闲队列 / Chrome 插件 / 本地 API → videohub-queue
  • FFmpeg 安装、测试、模式切换 → videohub-ffmpeg
  • 字幕烧录 / 合成 → videohub-subtitles
  • 根据字幕选段、重排并生成故事短片,或整理抖音发布包和文案 → videohub-story-editor
  • 电影、电视剧、短剧的第三者旁白解说、关键影视原声、抖音封面、标题和发布物料 → videohub-film-commentary
  • 单独制作或修改影视剧、连续剧、电影、卡点视频的横竖版封面与主页缩略图 → videohub-cover-designer
  • 根据音频节拍从单个长视频或素材目录选择镜头,批量制作多画幅卡点视频 → videohub-beat-editor
  • 直播录制 / 开播监控 → videohub-live

使用原则

  • 优先复用现有脚本和 GUI,而不是新造后端。
  • 只在需要时调用更具体的子 skill。
  • 如果用户目标不明确,先澄清是“下载 / 转写 / 翻译 / 总结 / 故事剪辑 / 队列 / 配置 / 直播”。

当前后端入口

  • GUI:python main.py
  • 媒体处理 CLI:python src/youtube_transcriber.py --help
  • 抖音 CLI:python src/douyin_cli.py <url>
  • FFmpeg 配置 CLI:python src/ffmpeg_config_cli.py help
  • 字幕烧录 GUI:python src/subtitle_merger.py
  • 本地队列 API:GUI 启动后由 src/api_server.py 在 127.0.0.1:8765 提供

近期同步点

  • 本地视频目录批处理支持“剧集项目模式”:生成文件保存在视频目录内,并写入可移植的 videohub_project.json,后续故事剪辑与影视解说可只接收一个目录。
  • 字幕翻译支持 --target-language {zh-CN,zh-TW,en,ja,ko,ru,fr,de,es,it,pt,ar},默认 zh-CN。
  • 字幕翻译默认 Google;Google 失败时会尝试 DeepSeek/OpenAI 备用翻译。
  • 字幕嵌入/烧录主函数是 src/youtube_transcriber.py 中的 embed_subtitles_to_video(),独立 GUI 工具是 src/subtitle_merger.py。
  • live_recorder/ 当前存在;直播功能仍应以 src/live_recorder_adapter.py 的导入结果和 GUI 状态为准。

© cacity, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/videohub of cacity/VideoHub.

Open the folder on GitHubat commit d1da59c

Compare with similar skills

Videohub next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Videohub compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Videohub this skillcacity/VideoHub167—~405Automated safety check: PassMIT
Ffmpeg Skillkajisho5/ffmpeg-skill1.9k—~7.4kAutomated safety check: PassMIT
Watchmathiaschu/watch141—~4kAutomated safety check: WarnMIT
Claude Real VideoHUANGCHIHHUNGLeo/claude-real-video2.2k—~639Automated safety check: PassMIT
Cassette Video EditCassette-Editor/oh-my-cassette1571 repos~3.4kAutomated safety check: PassMIT
Video To Subtitle Summaryimlewc/video-to-subtitle-summary-skill212—~4.6kAutomated safety check: NotesMIT

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More from cacity/VideoHub

All 12 skills in this repo
  • Videohub Beat Editor

    cacity/VideoHub

    根据一段音频、歌曲或参考视频的节拍,为一个长视频、多个视频或素材目录自动建立镜头候选库,生成卡点剪辑计划,并批量渲染 16:9、3:4、4:3、9:16 等多画幅成片。支持固定镜头数量、强拍切换、歌词字幕、镜头替换、封面、标题、caption、hashtags 和完整 QA。用于“按音乐卡点剪视频”“给音频和素材批量做卡点视频”“检测强拍并自动选镜头”“同一计划输出多个画幅”等任务。

    167 GitHub stars~626 tokensUpdated 6 days ago
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  • 为 VideoHub 的影视解说、连续剧、电影、卡点视频和短视频制作可在个人主页小缩略图中辨认的封面。输入剧照、视频帧或已有底图,突出剧名、集数和简短看点,统一生成 9:16、3:4、4:3、16:9 封面与缩略图预览。用于“做封面”“修改封面”“加大集数”“生成横版和竖版封面”“沿用上一集封面模板”“制作抖音或视频号缩略图”等任务。

    167 GitHub stars~453 tokensUpdated 6 days ago
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  • 把电影、电视剧或短剧素材制作成第三者旁白主导、关键影视原声点睛的中文解说视频,并生成抖音竖版封面、标题候选、50-100 字文案、话题和完整发布包。复用 videohub-story-editor 的证据提取、剧情理解、剪辑、后置翻译、TTS…

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  • Videohub Youtube

    cacity/VideoHub

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Questions about Videohub

What does Videohub do?

VideoHub 总入口。用于识别用户要处理的平台或功能,并路由到更具体的 VideoHub skills,如 YouTube、抖音、闲时队列、FFmpeg、字幕、故事剪辑、影视封面、音乐卡点剪辑和直播录制。. Videohub is an agent skill from cacity/VideoHub.

When should I use Videohub?

Videohub fits situations like: tasks that involve Video production; tasks that involve Transcription.

How do I install Videohub in Claude Code?

Run `npx skills add cacity/VideoHub --skill videohub -a claude-code`. Or copy the skill folder (.agents/skills/videohub in cacity/VideoHub) into .claude/skills/videohub in your project. Claude Code loads it when a task matches its description.

How do I install Videohub in Codex?

Run `npx skills add cacity/VideoHub --skill videohub -a codex`. Or copy the skill folder (.agents/skills/videohub in cacity/VideoHub) into .agents/skills/videohub in your project. Codex loads it when a task matches its description.

Can I use Videohub in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cacity/VideoHub --skill videohub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/videohub, .gemini/skills/videohub, .github/skills/videohub and .opencode/skills/videohub in your project.

What does Videohub need to run?

Going by SKILL.md and its folder, Videohub needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Videohub access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Videohub safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Videohub use?

Videohub is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Videohub use?

About 405 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Videohub?

Skills that share tags, products or a category with Videohub: Ffmpeg Skill (kajisho5/ffmpeg-skill, 1.9k stars), Watch (mathiaschu/watch, 141 stars), Claude Real Video (HUANGCHIHHUNGLeo/claude-real-video, 2.2k stars) and Cassette Video Edit (Cassette-Editor/oh-my-cassette, 157 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Videohub?

cacity (a GitHub user) maintains it in cacity/VideoHub, which has 167 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 2, 2026.

Source: cacity/VideoHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.