Extract frames or short clips from videos using ffmpeg.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install video-framesOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install video-frames⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/video-frames/💡Extract and place the folder at the path above, then restart your agent.
Category
What Video Frames can do for your AI workflow
Frames or short clips directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
Trusted by 42,561+ developers worldwide
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Video Frames
Help me get started with Video Frames
Explains what Video Frames does, walks through the setup, and runs a quick demo based on your current project
Use Video Frames to extract frames or short clips from videos using ffmpeg
Invokes Video Frames with the right parameters and returns the result directly in the conversation
What can I do with Video Frames in my design & creative workflow?
Lists the top use cases for Video Frames, with example commands for each scenario
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Video Frames extends your AI assistant with the ability to extract frames or short clips from videos using ffmpeg. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Video Frames as its underlying capability.
Video Frames works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Video Frames once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Video Frames, copy the skill folder to `~/.claude/skills/video-frames/` for use across all your projects, or `.claude/skills/video-frames/` for a single project. Restart Claude and the skill is immediately active — invoke it with `/video-frames` or just describe your goal and the AI will pick it up automatically.
With 42,561 installs, Video Frames has built a substantial following in the Design & Creative space. That install count reflects consistent demand from developers and teams who've found it genuinely useful. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/video-frames/ for personal use (all projects), or .claude/skills/video-frames/ for project-specific use. Restart your AI client, then invoke with /video-frames or let the AI discover it automatically.
Video Frames supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Video Frames is free to install. Check the repository for licensing information.
Extract frames or short clips from videos using ffmpeg.
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Platforms
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Video Frames is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.
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