Agent skill · Media & Video

openchatcut

Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or set up OpenChatCut; inspect or edit an OpenChatCut project; work with its timeline, transcript, captions, media, generation, motion graphics, audio, color, or export tools; or recover from an OpenChatCut MCP error.

sline582★ · +329/wk · 1 repos on radarProfile →
claude-codecodexAGPL-3.0
Install
npx skills add 0xsline/OpenChatCut --skill openchatcut --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/openchatcut/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 805 · +210 this week
Language: TypeScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# OpenChatCut OpenChatCut is a local-first, agent-native video editor. This skill is the single external entry point; specialized editing guidance remains inside the running editor and is loaded on demand with `load_skill`. ## Route the task - Install, connect, or diagnose the MCP server: read `references/getting-started.md`. - Inspect or modify a project: read `references/editing-workflow.md`. -

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About this skill
What does the openchatcut skill do?

Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or set up OpenChatCut; inspect or edit an OpenChatCut project; work with its timeline, transcript, captions, media, generation, motion graphics, audio, color, or export tools; or recover from an OpenChatCut MCP error.

How do I install it?

Run `npx skills add 0xsline/OpenChatCut --skill openchatcut --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From 0xsline/OpenChatCut, a repository with 805 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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