Skill UI

This comprehensive guide outlines security best practices for utilizing Vast.ai's cloud environment. It covers secure API key management, hardening SSH access to GPU instances, implementing proper data cleanup before instance destruction, and adhering to robust network security protocols. Use this when setting up, auditing, or deploying sensitive AI/ML workloads on shared cloud hardware.

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.

A comprehensive guide to implementing fault-tolerant patterns for Vercel serverless functions. Learn how to build resilient APIs using Circuit Breakers to handle external dependency failures, implementing Exponential Backoff for retries, and achieving Graceful Degradation by serving stale cache data. Essential for production-grade, highly available serverless architecture.

This comprehensive guide details how to control and audit the scope of code and data accessible by AI tools (like Codeium or Windsurf AI). Learn to implement robust data exclusion patterns, set compliance boundaries (e.g., HIPAA, GDPR), and configure secure deployment modes, ensuring sensitive data and secrets are never processed or retained by the AI model.

This skill guides the development of custom extensions for the Windsurf environment, leveraging the full VS Code Extension API. You will learn to track various workspace events—such as file saves, editor changes, and terminal outputs—and integrate this data with external services by sending structured webhooks. This is essential for building complex workflow automation, implementing custom IDE features, or creating data analytics tools within the development lifecycle.

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.

Comprehensive guidance on using Shodan’s web UI, CLI, and API for reconnaissance, exposed-service discovery, screenshot capture, and exporting JSON/CSV data during penetration tests.

Automate Benchling lab data workflows via the Python SDK or REST API: manage registry entities (DNA, proteins), inventory, ELN entries, workflows, and Data Warehouse queries for syncing and analytics.

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.

Manage microscopy data with the OMERO Python API: access projects/datasets/images, retrieve and analyze pixel data, handle ROIs and annotations, store results in tables, and automate batch workflows for high-content screening.

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.