Agent skill

Videocut

by aiskillstore in aiskillstore/marketplace

口播基础素材包生成。转录口播、识别口误、生成审核页;用户确认后剪出新视频,Agent 再基于剪后视频重新转写、AI 校对字幕,输出后续口播成片可用的 sourcecut.mp4 和 subtitles.srt。触发词:剪口播、处理口播素材、准备口播素材、识别口误、基础素材包

No licenceAuto-check: notesMedia & Creative

Install Videocut

skills CLI
$ npx skills add aiskillstore/marketplace --skill videocut -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace videocut --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ceeon/videocut .claude/skills/videocut && 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
videocut
GitHub stars
430
Used in
1 other repo
Token cost
~2.9k tokens
SKILL.md length
345 words
Files
20 (incl. scripts)
Skills in repo
1,044
Repo updated
First seen
Licence
None found

At a glance

口播基础素材包生成。转录口播、识别口误、生成审核页;用户确认后剪出新视频,Agent 再基于剪后视频重新转写、AI 校对字幕,输出后续口播成片可用的 sourcecut.mp4 和 subtitles.srt。触发词:剪口播、处理口播素材、准备口播素材、识别口误、基础素材包

  • Works in 2 steps: ../README.md 的 Skill 清单 → /CLAUDE.md 路由表
  • Tasks that involve Transcription
  • SKILL.md covers 快速使用, 输出目录结构, 流程 and 执行步骤, plus 3 more sections
  • Runs JavaScript and Shell scripts from its folder; calls node, ffmpeg and ffprobe; reaches console.volcengine.com; needs VOLCENGINE_API_KEY

What it does

Videocut is an agent skill from aiskillstore/marketplace. 口播基础素材包生成。转录口播、识别口误、生成审核页;用户确认后剪出新视频,Agent 再基于剪后视频重新转写、AI 校对字幕,输出后续口播成片可用的 sourcecut.mp4 和 subtitles.srt。触发词:剪口播、处理口播素材、准备口播素材、识别口误、基础素材包

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts (for example `scripts/cut_video.sh`, `scripts/detect_en_stutter.js` and `scripts/generate_review.js`).

It sits in Media & Creative, covering Transcription. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Tasks that involve Transcription

Example prompts

  • “/videocut”

Requirements

  • Node.js
  • A Bash shell

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. ../README.md 的 Skill 清单
  2. /CLAUDE.md 路由表

What it can do on your machine

Read from SKILL.md and the folder at commit 755bc35. 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

    Ships 8 files in scripts/ (JavaScript and Shell, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • ffmpeg
    • ffprobe
    • python3
    • curl

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • console.volcengine.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • VOLCENGINE_API_KEY

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

Context cost

Videocut loads about 2.9k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 345 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:525
    拿到 Key 后,再写入 Skills 根目录的 `.env`:
  • NoteMentions a .env fileSKILL.md:529
    cp .env.example .env
  • NoteMentions a .env fileSKILL.md:530
    # 编辑 .env 填入 VOLCENGINE_API_KEY=xxx

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 345 words (~2,934 tokens).

“input: 视频文件 (*.mp4) output: subtitles_words.json、auto_selected.json、review.html、剪后视频、video.raw.srt、AI 校对后的 video.srt/subtitles.srt pos: 口播素材准备入口;默认完成粗剪 + 剪后字幕校对”

— opening of SKILL.md by aiskillstore
name
videocut
author
chengfeng / AI产品自由
source
https://github.com/Agentchengfeng/chengfeng-videocut-skills
official_accounts
GitHub @Agentchengfeng;X @chengfeng240928;小红书/公众号/B站/抖音/视频号 @AI产品自由

Read the full SKILL.md on GitHub

Files

SKILL.md and 19 other files (scripts) in skills/ceeon/videocut of aiskillstore/marketplace.

  • SKILL.md
  • scripts/cut_video.sh
  • scripts/detect_en_stutter.js
  • scripts/generate_review.js
  • scripts/generate_srt_for_video.sh
  • scripts/generate_subtitles.js
  • scripts/review_server.js
  • scripts/volcengine_transcribe.sh
  • scripts/watch_cut_done.js
  • skill-report.json
  • 用户习惯/1-核心原则.md
  • 用户习惯/10-删除风险分层.md
  • 用户习惯/11-口播稿对齐.md
  • 用户习惯/2-语气词检测.md
  • 用户习惯/3-静音段处理.md
  • 用户习惯/4-重复检测.md
  • 用户习惯/5-卡顿词.md
  • 用户习惯/7-连续语气词.md
  • 用户习惯/9-残句检测.md
  • … and 1 more

Open the folder on GitHubat commit 755bc35

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Videocut 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.

Videocut compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Videocut this skillaiskillstore/marketplace4301 repos~2.9kAutomated safety check: NotesNone
HyperFrames Media Useheygen-com/hyperframes59k—~2.4kAutomated safety check: PassApache-2.0
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.4k—~1.8kAutomated safety check: PassMIT
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0
Transcription Memory ReconstructionNxcoreAI/EverRoom3k—~714Automated safety check: PassCustom licence
TranscribeJetBrains/skills3664 repos~776Automated safety check: PassApache-2.0

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Questions about Videocut

What does Videocut do?

口播基础素材包生成。转录口播、识别口误、生成审核页;用户确认后剪出新视频,Agent 再基于剪后视频重新转写、AI 校对字幕,输出后续口播成片可用的 sourcecut.mp4 和 subtitles.srt。触发词:剪口播、处理口播素材、准备口播素材、识别口误、基础素材包. Videocut is an agent skill from aiskillstore/marketplace.

When should I use Videocut?

Videocut fits situations like: tasks that involve Transcription.

How do I install Videocut in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill videocut -a claude-code`. Or copy the skill folder (skills/ceeon/videocut in aiskillstore/marketplace) into .claude/skills/videocut in your project. Claude Code loads it when a task matches its description.

How do I install Videocut in Codex?

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

Can I use Videocut 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 aiskillstore/marketplace --skill videocut -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/videocut, .gemini/skills/videocut, .github/skills/videocut and .opencode/skills/videocut in your project.

What does Videocut need to run?

Going by SKILL.md and its folder, Videocut needs JavaScript and a shell for the scripts in its folder, the command-line tools its instructions call (node, ffmpeg, ffprobe, python3 and curl) and credentials named VOLCENGINE_API_KEY. Our summary lists: Node.js; A Bash shell.

Does Videocut access the network?

SKILL.md names 1 domain. In commands or code: console.volcengine.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Videocut safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Videocut use?

No licence was found for Videocut or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Videocut use?

About 2.9k tokens (SKILL.md is roughly 12k 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 Videocut?

Skills that share tags, products or a category with Videocut: HyperFrames Media Use (heygen-com/hyperframes, 59k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.4k stars), Edu Math Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Videocut?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 9, 2026.

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