Skill UI

Guides marketers through recruiting creators, validating content organically, and scaling with AI-generated UGC across TikTok, Meta, and YouTube Shorts while keeping briefs, budgets, and paid amplification systematic.

Builds AI-powered paid media creative across Meta, Google, TikTok, YouTube, and LinkedIn by combining native platform tools and generative models to automate asset creation, fatigue management, and performance testing while driving ROAS.

Tubeify automates YouTube video editing via API: it trims pauses, removes filler words, and polls for completion so creators upload polished recordings without manual editing.

This skill guides the entire video content lifecycle, from initial strategy development to multi-platform distribution. Use it to define YouTube channel positioning, write viral short-form scripts (Reels, TikTok), or systematically repurpose long-form assets like podcasts and blogs into comprehensive video pipelines for maximum reach and authority building.

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.

This comprehensive tool provides real-time, live SEO data directly from the DataForSEO platform. It allows users to analyze live SERPs (Google, YouTube), conduct deep keyword research (volume, difficulty, intent), monitor backlink profiles, analyze competitor domains, and perform on-page content audits. It is crucial for digital marketers and content creators who need up-to-date metrics, especially for tracking AI visibility and LLM mentions, moving beyond static best practices.

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 workflow utilizes the SerpApi to perform advanced, multi-engine searches across platforms including YouTube, Bing, Google News, Google Shopping, and Google Maps. It is essential for data scraping, SEO research, and building comprehensive search features that require aggregating results from diverse sources beyond standard Google search. Use it to collect videos metadata, product pricing, local business details, and news articles efficiently.

Utilize this tool to programmatically access and parse search engine result pages (SERP) data from multiple sources, including Google, Bing, YouTube, and Google News. It returns comprehensive, structured JSON data, allowing developers and marketers to extract organic results, knowledge graph entries, ads, and local information for advanced SEO analysis, market research, and data science projects. Supports both Python and Node.js implementations.

This guide details how to install the official SerpApi client library for Python and Node.js, and properly configure API key authentication. It is essential for any project requiring structured JSON results from major search engines like Google, Bing, and YouTube, ensuring secure and reliable search result scraping.

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.

A robust API-backed skill for fetching YouTube transcripts, searching video content, browsing channels, and extracting playlists. It functions reliably from any cloud server environment, bypassing limitations found in local tools like yt-dlp or reliance on Google API keys. Ideal for building research corpora, competitive intelligence monitoring, and systematic content analysis.