Does it require a paid transcription service?

No, the skill uses local Whisper models or native video captions, avoiding external API costs and keeping data processing local.

How does it handle complex technical jargon?

It utilizes high-quality Whisper models (up to large-v3) which are significantly more accurate for technical terms than standard auto-generated captions.

Is Docker required to run this skill?

Yes, Docker is required to run the specialized transcription and video processing environments to ensure consistency and dependency isolation.

What video formats are supported?

It supports all yt-dlp compatible URLs including YouTube, Vimeo, and Loom, as well as local .mp4, .mkv, and .webm files.

Can it extract code from the video screen?

Yes, by capturing high-resolution keyframes of terminal sessions or IDEs, it provides the visual context Claude needs to accurately interpret and reconstruct code.

Learn From Video

Name: Learn From Video
Author: ErikTMA

byErikTMA

0•

Aprendizaje y Documentación

Extracts actionable technical knowledge from videos by analyzing transcripts and visual keyframes.

Learn From Video is a specialized Claude Code skill that enables developers to ingest knowledge from video tutorials, presentations, and screen recordings without manually watching them. It combines high-accuracy transcription via Whisper or native captions with intelligent visual frame extraction to create a searchable, text-based timeline of a video's content. By automatically classifying video types like terminal sessions or slide decks, it optimizes data extraction to provide Claude with the necessary context to explain concepts, summarize tutorials, or help implement code demonstrated in a video.

Características Principales

01Multi-platform support for YouTube, Vimeo, Loom, and local video files

02Local AI transcription using OpenAI Whisper for superior technical accuracy

03Automated keyframe extraction with scene detection and phash deduplication

04Intelligent visual classification for terminal sessions, slides, and screen recordings

050 GitHub stars

06Unified timeline generation merging transcript segments with visual context

Casos de Uso

01Converting a coding tutorial into a structured implementation guide or README

02Extracting terminal commands and workflow steps from raw screen recordings

03Summarizing key technical points and code snippets from conference presentations

Características Principales

01Multi-platform support for YouTube, Vimeo, Loom, and local video files

02Local AI transcription using OpenAI Whisper for superior technical accuracy

03Automated keyframe extraction with scene detection and phash deduplication

04Intelligent visual classification for terminal sessions, slides, and screen recordings

050 GitHub stars

06Unified timeline generation merging transcript segments with visual context

Casos de Uso

01Converting a coding tutorial into a structured implementation guide or README

02Extracting terminal commands and workflow steps from raw screen recordings

03Summarizing key technical points and code snippets from conference presentations