Skill UI

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

Provides a comprehensive, production-ready reference architecture for building complex applications on Vercel using Next.js and TypeScript. It covers modern best practices, including layered directory structure, secure typed environment variable management (Zod), lazy database singleton implementation, API route patterns, and essential Edge Middleware for authentication and routing. Use this guide when starting a new Vercel project or standardizing existing application infrastructure.

Automates websocket handler setup for backend development, guiding Node.js, Python, and Go implementations while aligning with database, caching, messaging, and microservice architecture best practices to deliver production-ready code and validations.

This skill manages the integration of Model Context Protocol (MCP) servers with Windsurf, significantly extending its operational capabilities. It enables Windsurf to interact with external resources, including databases, file systems, APIs, and custom tools through a standardized protocol. Use this when configuring or utilizing advanced, external tool integrations within the Windsurf environment.

A comprehensive, multi-phase workflow for developing professional WordPress plugins. Covers foundational architecture, hooks, admin UI, database design, and REST API implementation. Crucially, it incorporates advanced WordPress 7.0 features, including Real-Time Collaboration (RTC) compatibility, AI Connector integration (OpenAI, Claude, etc.), and the Abilities API, ensuring modern, scalable, and secure plugins.

This skill facilitates the end-to-end deployment of web applications and websites, supporting full-stack architectures including backend APIs, databases, and file storage. It is used when the user wishes to publish a project to a public, live URL, managing the entire deployment lifecycle from template selection to status checking and updates.

Guides using SQLMap to automate SQL injection discovery, enumerate databases/tables/columns, dump data, and collect hashes across MySQL/PostgreSQL/MSSQL/Oracle during authorized penetration tests.

Retrieve AlphaFold’s AI-predicted protein models via UniProt IDs, download CIF/PDB coordinates, inspect confidence metrics, and feed them into structural analysis or drug-discovery pipelines.

Biopython provides Python APIs for sequence manipulation, database access, BLAST automation, structural bioinformatics, and phylogenetics, making it ideal for scripting custom pipelines and batch processing in computational molecular biology workflows.

Enables efficient querying of the bioRxiv preprint server with keywords, authors, dates, and categories, returning structured JSON metadata and optional PDF downloads for literature reviews or tracking research trends.

BioServices provides Python wrappers for 40+ bioinformatics services, allowing cross-database queries, identifier mapping, pathway exploration, and sequence or compound research within consistent workflows.

Access the BRENDA SOAP API to retrieve enzyme kinetic parameters, reaction equations, organism-specific data, and environmental preferences, enabling biochemical research, metabolic pathway reconstruction, and enzyme engineering workflows.