Skill UI

This specialized tool serves as a comprehensive search engine for over 2500 curated open-source repositories focusing on Large Language Models (LLMs), RAG, AI agents, and advanced NLP applications. It intelligently parses complex, multilingual queries, providing users with highly targeted suggestions for AI development tools, libraries, and codebases.

Provides comprehensive workflows for searching biomedical literature in PubMed and NCBI. Users can construct highly complex queries using MeSH terms, specific field tags, and Boolean operators. It details the programmatic use of NCBI E-utilities (like esearch, efetch) for reliable, repeatable retrieval of abstracts, metadata, and citations, making it invaluable for systematic reviews and bioinformatic research projects.

FLOW is an evidence-led SEO operating model designed for the AI-search era. It guides users through a structured Find → Leverage → Optimize → Win loop using 41 stage-specific, evidence-backed AI prompts. It systematically helps analyze keyword gaps, backlink strategies, on-page optimization, and conversion rate optimization (CRO), ensuring all SEO analysis is driven by structured, evidence-backed prompts rather than improvised queries.

A comprehensive guide covering MySQL and MariaDB best practices for building robust production backends. It details schema design, advanced indexing strategies, efficient query patterns (like Keyset Pagination and Upserts), transaction management, and performance tuning (e.g., analyzing slow queries and deadlocks).

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

A comprehensive guide to production-grade patterns and common pitfalls when using Prisma ORM with TypeScript backends. Covers optimizing schema design, implementing complex queries, managing transactions, handling pagination strategies, and addressing critical traps like connection exhaustion in serverless environments.