youtube-transcript

Included with Lifetime

$97 forever

Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.

Image & Videoscripts

What this skill does

# YouTube Transcript

## Overview

Extract YouTube video transcripts, metadata, and chapters using yt-dlp. Output formatted as Markdown with YAML frontmatter, saved to ~/Brains/brain/ (Obsidian vault).

## Quick Start

To extract a transcript from a YouTube video:

```bash
python scripts/extract_transcript.py <youtube_url>
```

Optional: Specify custom output filename:

```bash
python scripts/extract_transcript.py <youtube_url> custom_filename.md
```

## Output Format

### YAML Frontmatter

The generated Markdown includes comprehensive metadata:

- `title` - Video title
- `channel` - Channel name
- `url` - YouTube URL
- `upload_date` - Upload date (YYYY-MM-DD)
- `duration` - Video duration (HH:MM:SS)
- `description` - Video description (truncated to 500 chars)
- `tags` - Array of video tags
- `view_count` - View count
- `like_count` - Like count

### Body Structure

Transcript organized by video chapters (if available):

```markdown
## Chapter Title

**00:05:23** Transcript text for this segment.

**00:05:45** Next segment text.
```

If no chapters exist, all content appears under "## Transcript" heading.

Timestamps formatted as HH:MM:SS for consistency.

## Workflow

1. Extract metadata and subtitles using yt-dlp
2. Parse VTT subtitle format to extract timestamps and text
3. Group transcript segments by video chapters (if present)
4. Format as Markdown with YAML frontmatter
5. Save to ~/Brains/brain/ with sanitized filename based on video title
6. Clean up temporary subtitle files

## Deduplication

To remove duplicates from existing transcript files:

```bash
python scripts/deduplicate_transcript.py <markdown_file>
```

This removes transcript entries that are prefixes of subsequent entries (common in VTT files where subtitles accumulate).

## Requirements

Ensure yt-dlp is installed:

```bash
pip install yt-dlp
```

## Limitations

- Extracts subtitles in English first, falls back to Russian if English unavailable
- Requires video to have subtitles (auto-generated or manual)
- Does not download video or audio files
- Description truncated to 500 characters in frontmatter

Files: 4

Size: 13.4 KB

Complexity: 37/100

Category: Image & Video

Source: https://github.com/glebis/claude-skills/tree/main/youtube-transcript

Related in Image & Video

watch

Included

Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.

Image & Videoscriptsfeatured

physical-ai-defect-image-generation

Included

Use when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.

Image & Videoscripts

accelint-react-best-practices

Included

React performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.

Image & Videoscripts

elevenlabs-agents

Included

Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication

Image & Videoscripts

humanizer

Included

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.

Image & Videoscripts

generating-mermaid-diagrams

Included

Salesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.

Image & Videoscripts