React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.

A Codex skill for generating minimal zine-style editorial poster prompts and images.

Apache Beam is a unified programming model for Batch and Streaming data processing.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

A Cloud Native Batch System (Project under CNCF)

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, PostgreSQL, MySQL, SQLite, Oracle

Cloud-native genomic dataframes and batch computing

A collection of reusable AI agent skills for coding assistants, including commit generation, code review, simplification, and ZenTao task management.

A Claude Code plugin providing 16 visual content workflows with AI image generation, aesthetic routing, and brand customization.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.