youtube-transcript
$
npx mdskill add mkurman/zorai/youtube-transcriptRetrieve YouTube video transcripts with optional timestamps.
- Converts YouTube URLs into readable text or caption segments.
- Depends on the youtube-transcript-api service for data extraction.
- Parses video IDs from various YouTube link formats automatically.
- Delivers plain text or timestamped lines based on user request.
SKILL.md
.github/skills/youtube-transcriptView on GitHub ↗
--- name: youtube-transcript description: Extract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions of a YouTube video and provides a YouTube URL (youtube.com/watch?v=, youtu.be/, or similar). Supports output with or without timestamps. tags: [productivity, agent-skills, youtube-transcript] --- # YouTube Transcript Extract transcripts from YouTube videos using the youtube-transcript-api. ## Usage Run the script with a YouTube URL or video ID: ```bash uv run scripts/get_transcript.py "VIDEO_URL_OR_ID" ``` With timestamps: ```bash uv run scripts/get_transcript.py "VIDEO_URL_OR_ID" --timestamps ``` ## Defaults - **Without timestamps** (default): Plain text, one line per caption segment - **With timestamps**: `[MM:SS] text` format (or `[HH:MM:SS]` for longer videos) ## Supported URL Formats - `https://www.youtube.com/watch?v=VIDEO_ID` - `https://youtu.be/VIDEO_ID` - `https://youtube.com/embed/VIDEO_ID` - Raw video ID (11 characters) ## Output - CRITICAL: YOU MUST NEVER MODIFY THE RETURNED TRANSCRIPT - If the transcript is without timestamps, you SHOULD clean it up so that it is arranged by complete paragraphs and the lines don't cut in the middle of sentences. - If you were asked to save the transcript to a specific file, save it to the requested file. - If no output file was specified, use the YouTube video ID with a `-transcript.txt` suffix. ## Notes - Fetches auto-generated or manually added captions (whichever is available) - Requires the video to have captions enabled - Falls back to auto-generated captions if manual ones aren't available
More from mkurman/zorai
- account-management>
- agile-scrum>
- albumentationsFast image augmentation library (Albumentations). 70+ transforms for classification, segmentation, object detection, keypoints, and pose estimation. Optimized OpenCV-based pipeline with unified API across all CV tasks. Supports images, masks, bounding boxes, and keypoints simultaneously. Note: classic Albumentations (MIT) is no longer maintained; successor AlbumentationsX uses AGPL-3.0. For torchvision-native augmentations, use torchvision.transforms.v2.
- aml-complianceAnti-Money Laundering (AML) and Know Your Customer (KYC) compliance workflow. Sanctions screening, PEP detection, transaction monitoring, suspicious activity reporting (SAR), and OFAC compliance.
- anki-connectThis skill is for interacting with Anki through AnkiConnect, and should be used whenever a user asks to interact with Anki, including to read or modify decks, notes, cards, models, media, or sync operations.
- approval-checkpoint-long-taskCanonical long-task pack for daemon-managed work with deliberate approval checkpoints, status summaries, rollback notes, and mobile-safe governance-aware updates.
- auditing-goal-artifactsUse when reviewing recent zorai goal run outputs, closure markers, ledgers, or evidence bundles to judge whether completion is credible or to identify remaining uncertainty.
- autogenAutoGen (Microsoft) — multi-agent conversation framework. Agent-to-agent chat, code generation & execution, tool use, group chat, and human-in-the-loop. Build collaborative AI systems with specialized agents.
- backtraderPython backtesting framework for trading strategies. Data feeds, brokers, analyzers, and live trading support. Strategy development with commission models, slippage, and signal-based execution.
- beautiful-mermaidRender Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.