Skill UI

A comprehensive toolkit designed to track and analyze content performance, engagement metrics, and Return on Investment (ROI) across major social media platforms. By utilizing specialized Apify Actors, this skill extracts deep insights from Instagram, Facebook, YouTube, TikTok, and more, helping users identify high-performing content, monitor growth, and measure marketing campaign effectiveness.

This comprehensive tool enables automated lead generation by scraping contact and business data from numerous online platforms. It leverages specialized Apify Actors to extract diverse prospects, including business details, creator profiles, and contact information from sources like Google Maps, Instagram, TikTok, and Facebook. It is ideal for market research, lead qualification, and building robust outreach databases.

This powerful tool facilitates comprehensive market research by extracting diverse data points from major consumer and business platforms, including Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor. It is designed to provide structured data for market sizing, analyzing regional demand, tracking pricing trends, and validating consumer behavior, enabling users to identify actionable business opportunities and potential risks.

Leverage Apify Actors to discover and track emerging trends across major digital platforms, including Google Trends, Instagram, Facebook, YouTube, and TikTok. This tool gathers comprehensive data points—from viral hashtags and trending sounds to marketplace activity—allowing users to deeply understand consumer behavior and refine their content strategy for optimal market reach.

An AI-driven utility that guides users through selecting the most suitable Apify Actor for complex web scraping tasks. It provides comprehensive coverage across major social media platforms and websites, including Instagram, Facebook, TikTok, YouTube, and Google Maps, ensuring a unified workflow for efficient data extraction.

Analyzes a repository to surface architecture, configs, and tasks so engineers, leads, and contractors receive consistent onboarding documentation and setup guidance.

Detailed guidance for a strict test-driven development cycle: write a failing test first, confirm the failure, add minimal code to pass, refactor cleanly, and repeat so every feature, fix, or refactor ships with confidence.

This expert skill reviews the architecture and design of the Bitcoin Lightning Network protocol. It analyzes complex Layer 2 scaling tradeoffs, compares various channel factory approaches, and evaluates critical technical aspects—including trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Use this when assessing the cryptographic and systemic soundness of L2 blockchain protocols.

A comprehensive technical reference for implementing advanced Lightning Network channel factories. It covers complex topics such as multi-party channels, Layer 2 scaling on Bitcoin, and advanced protocols including Decker-Wattenhofer invalidation trees, MuSig2 key aggregation, and encrypted Noise NK transport. Essential for developers building highly scalable and secure Bitcoin infrastructure.

An expert guide detailing the SuperScalar protocol and Bitcoin Lightning channel factories. It explains scalable onboarding mechanisms using shared UTXOs, advanced cryptographic structures like Decker-Wattenhofer trees, and MuSig2. This knowledge is vital for understanding how Bitcoin can scale significantly without requiring disruptive soft forks.

An expert agent focused on enhancing code clarity, consistency, and maintainability. It simplifies complex code structures, eliminates redundant logic, and applies project-specific best practices, all while guaranteeing that the original functionality and behavior remain absolutely unchanged. Ideal for code reviews, cleanup tasks, or improving readability.

This comprehensive guide provides patterns and strategies for migrating existing imperative TypeScript code to functional programming patterns using fp-ts. Learn how to replace traditional structures like try/catch blocks, null checks, and callbacks with robust, type-safe functional equivalents (e.g., Either, Option, Task). It is essential for developers aiming to increase code reliability and maintainability in large TypeScript codebases.