Agent skill · Data & Analytics

explainer-video

Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets. Use when the user wants narration, motion graphics, stock footage, generated visuals, or mixed visuals to explain an idea.

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: src/agent/skills/explainer-video/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

# Explainer Video Use this workflow to turn information into a clear finished video. The information is the product: topic, script, logic, data, product mechanism, or voiceover. Visuals support understanding. Explainer Video owns the section plan, narration mode, timing order, assembly, and QA; `create-motion-graphics` is the helper workflow for direct Motion Graphic authoring and placement. ## Wo

More from OpenChatCut
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About this skill
What does the explainer-video skill do?

Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets. Use when the user wants narration, motion graphics, stock footage, generated visuals, or mixed visuals to explain an idea.

How do I install it?

Run `npx skills add 0xsline/OpenChatCut --skill explainer-video --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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