Video Understand
calesthio/OpenMontage
Understand video content locally using ffmpeg frame extraction and Whisper transcription.
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. An agent skill from zrt-ai-lab/opencode-skills.
Install Videocut Clip
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/videocut-clip .claude/skills/videocut-clip && rm -rf skills-srcUse ~/.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/
Install the "videocut-clip" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip into .claude/skills/videocut-clip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clipType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/videocut-clip .agents/skills/videocut-clip && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "videocut-clip" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip into .agents/skills/videocut-clip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/videocut-clip .cursor/skills/videocut-clip && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "videocut-clip" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip into .cursor/skills/videocut-clip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zrt-ai-lab/opencode-skills.git --path videocut-clip--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/videocut-clip .gemini/skills/videocut-clip && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "videocut-clip" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip into .gemini/skills/videocut-clip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clipInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/videocut-clip .github/skills/videocut-clip && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "videocut-clip" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip into .github/skills/videocut-clip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zrt-ai-lab/opencode-skills videocut-clip --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/videocut-clip .opencode/skills/videocut-clip && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "videocut-clip" agent skill from https://github.com/zrt-ai-lab/opencode-skills/tree/main/videocut-clip into .opencode/skills/videocut-clip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "videocut-clip", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
videocut-clip- GitHub stars
- 287
- Token cost
- ~569 tokens
- SKILL.md length
- 86 words
- Files
- 2
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- None found
At a glance
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. An agent skill from zrt-ai-lab/opencode-skills.
- Works in 2 steps: ../README.md 的 Skill 清单 → /CLAUDE.md 路由表
- Tasks that involve Video production
- SKILL.md covers 快速使用, 前置条件, 流程 and 进度 TodoList, plus 5 more sections
- Calls ffmpeg
What it does
Videocut Clip is an agent skill from zrt-ai-lab/opencode-skills. 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
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).
It sits in Media & Creative, covering Video production. It works with FFmpeg. The repository describes itself as: OpenCode/Claude Code 技能库 。特色技能：视频生成、图片生成、AI Agent 互联、智能问数等等各场景，持续开发更新中.
When your agent uses it
- Tasks that involve Video production
Example prompts
- “/videocut-clip”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- ../README.md 的 Skill 清单
- /CLAUDE.md 路由表
What it can do on your machine
Read from SKILL.md and the folder at commit d38536f. 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:
ffmpeg
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
Videocut Clip loads about 569 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 86 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 86 words (~569 tokens).
“input: 删除任务 TodoList（口误+静音） output: 剪辑后视频、字幕文件 pos: 执行 skill，用户确认删除任务后调用”
- name
- videocut-clip
- metadata.version
- 1.0.0
- metadata.alias
- videocut:剪辑
Files
SKILL.md and 1 other file in videocut-clip of zrt-ai-lab/opencode-skills.
- SKILL.md
- README.md
Open the folder on GitHubat commit d38536f
Compare with similar skills
Videocut Clip 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Videocut Clip this skillzrt-ai-lab/opencode-skills | 287 | — | ~569 | Automated safety check: Pass | None | |
| Video Understandcalesthio/OpenMontage | 66k | — | ~841 | Automated safety check: Pass | AGPL-3.0 | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Shotseternityspring/reelbench-skills | 878 | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Mobile Demo Film Editorsuperset-sh/superset | 15k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Video Editcalesthio/OpenMontage | 66k | — | ~855 | Automated safety check: Notes | AGPL-3.0 |
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Lemo-Opuscar Short Film Director
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Directs a short film made entirely in code in one of the Lemo-Opuscar library's named visual styles, from fetching the library through production and delivery.
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Works with
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Questions about Videocut Clip
What does Videocut Clip 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. An agent skill from zrt-ai-lab/opencode-skills. Videocut Clip is an agent skill from zrt-ai-lab/opencode-skills.
When should I use Videocut Clip?
Videocut Clip fits situations like: tasks that involve Video production.
How do I install Videocut Clip in Claude Code?
Run `npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a claude-code`. Or copy the skill folder (videocut-clip in zrt-ai-lab/opencode-skills) into .claude/skills/videocut-clip in your project. Claude Code loads it when a task matches its description.
How do I install Videocut Clip in Codex?
Run `npx skills add zrt-ai-lab/opencode-skills --skill videocut-clip -a codex`. Or copy the skill folder (videocut-clip in zrt-ai-lab/opencode-skills) into .agents/skills/videocut-clip in your project. Codex loads it when a task matches its description.
Can I use Videocut Clip 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 zrt-ai-lab/opencode-skills --skill videocut-clip -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-clip, .gemini/skills/videocut-clip, .github/skills/videocut-clip and .opencode/skills/videocut-clip in your project.
What does Videocut Clip need to run?
Going by SKILL.md and its folder, Videocut Clip needs the command-line tools its instructions call (ffmpeg).
Does Videocut Clip 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 Videocut Clip 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 Videocut Clip use?
No licence was found for Videocut Clip or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Videocut Clip use?
About 569 tokens (SKILL.md is roughly 2.3k 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 Clip?
Skills that share tags, products or a category with Videocut Clip: Video Understand (calesthio/OpenMontage, 66k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Video Shots (eternityspring/reelbench-skills, 878 stars) and Mobile Demo Film Editor (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Videocut Clip?
zrt-ai-lab (a GitHub user) maintains it in zrt-ai-lab/opencode-skills, which has 287 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on July 22, 2026.
Source: zrt-ai-lab/opencode-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.