Skill UI

Downloads YouTube and other platform videos for offline viewing, editing, or archiving, letting you batch download, pick resolutions, and preserve metadata in MP4, WebM, or audio-only formats.

Automate uploads, playlist, search, analytics, and comment workflows via Composio's Rube MCP YouTube toolkit; requires active Rube and YouTube MCP connections and always query RUBE_SEARCH_TOOLS first for current tool schemas.

Download YouTube videos with selectable quality (best to 360p or worst) and output formats (mp4/webm/mkv) or audio-only MP3, saving to a specified directory via a lightweight Python wrapper around yt-dlp.

Extract transcripts from YouTube videos, validate URLs and availability, then use STAR+R-I-S-E with youtube-transcript-api to craft comprehensive summaries and documentation for lectures, tutorials, and informational clips.

Builds comprehensive, step-by-step production outlines for YouTube videos. It meticulously plans content structure, talking points, screen-share sequences, and detailed demo execution steps. The output includes a full prep checklist, ensuring the video production process is professional, thorough, and failure-proof.

Command-line helper that pulls in URLs, local files, transcripts, podcasts, and YouTube links to deliver concise summaries or transcripts, with provider models and fetch fallbacks configurable for any workflow.

Automates YouTube workflows through the Rube MCP/Composio toolkit, covering uploads, playlist management, content search, analytics, subscriptions, and comments while respecting tool schemas and quota-aware practices.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.

This workflow transforms long YouTube talks and lectures into a personal, structured, and local markdown library. Each video becomes a self-contained file containing slide snapshots, full timestamped transcripts, and editable study notes. It eliminates reliance on cloud services, giving users full ownership of their academic material.