Transforms passive video watching into active, adaptive learning experiences within AI coding assistants, using multimodal understanding and creating course-specific Skills without manual setup.
Turn a video, playlist, or course into an evidence-grounded Skill that Claude Code or Codex can teach from, quiz you on, use as a reference, and apply to real work.
Paste this request into Claude Code or Codex:
Install video-to-skill globally as a standalone Skill from https://github.com/Lum1104/video-to-skill. Prepare and verify its private runtime, then confirm that video-to-skill is available.
Or install it for both hosts with the open Agent Skills installer:
npx skills add Lum1104/video-to-skill --skill video-to-skill --global --agent claude-code --agent codex --yes
The command-line option requires Node.js and npx. Start a new host session after installation.
On first use, the Skill creates a private Python runtime and downloads its third-party dependencies from PyPI; that setup needs Python 3.11–3.13 and network access. Processing media also requires FFmpeg with ffprobe. If a course later needs local speech recognition or OCR, the host enables that capability inside the same private runtime; you do not create a virtual environment or run a package manager yourself.
Give the generator a video, playlist, course URL, or local media file:
| Host | Example |
|---|---|
| Claude Code | /video-to-skill https://www.youtube.com/playlist?list=... |
| Codex | $video-to-skill https://www.youtube.com/playlist?list=... |
You can add the desired outcome naturally:
Build a Skill that teaches this course and can apply its method to my projects.
One invocation inventories the accessible course, acquires and investigates the evidence, builds and validates a course-specific Skill, and installs it for the active host. Interrupted work resumes from its private evidence workspace.
If the generated Skill is named react-performance-course, use /react-performance-course in Claude Code or replace the leading / with $ in Codex:
| Goal | Example request |
|---|---|
| Learn | /react-performance-course Check what I know, then teach me the first topic. |
| Practice | /react-performance-course Give me an exercise and review my attempt. |
| Apply | /react-performance-course Inspect this repository using the course's method. |
| Reference | `/react-performance-course What did the course rec |
Turn videos and courses into evidence-grounded Agent Skills for Claude Code and Codex.
Similar projects matched by category, topics, and programming language.
A Remotion-based tool that converts Chinese story text or ordered hand-drawn images into vertical hand-drawn diary-comic animation with handwritten captions, left-to-right reveals, optional page-curl transitions, and silent H.264 output for post-production dubbing.
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
Kill AI Slop is a multilingual field guide and agent skill that catalogues 33 common AI-generated design tells with interactive before-after demos, and provides a tool to scan and fix web projects.