Skill UI

Qdrant is a high-performance, Rust-powered vector database designed for production-grade RAG (Retrieval-Augmented Generation) and semantic search applications. It provides fast nearest neighbor search, supports complex hybrid search using metadata filtering, and offers horizontal scalability through sharding and replication. Ideal for building real-time recommendation systems and enterprise-level knowledge retrieval.

Guides building accessible Radix UI design systems using headless primitives, focusing on theming, composition, keyboard navigation and WCAG compliance for custom component libraries in React-based apps.

Expert in writing, reviewing, and debugging idiomatic Rust code. This skill covers deep systems programming concepts, including mastering ownership, lifetimes, and borrowing patterns for guaranteed memory safety. Specializes in building high-performance, concurrent async applications using Tokio, and designing robust APIs using advanced trait hierarchies. Ideal for projects requiring zero-cost abstractions and maximum reliability.

Expert guidance for building Rust 1.75+ services with async Tokio stacks, advanced type system usage, memory-safe systems programming, and production-grade testing and optimization workflows.

Summarizes Rust systems programming best practices, covering ownership, traits, async patterns, error handling, builders, and safety reminders for building robust server components.

This skill provides expertise in building production-grade, scalable data systems and pipelines. It covers the full spectrum of data engineering, including designing robust batch ETL/ELT workflows, implementing real-time streaming architectures (Kafka/Flink), and utilizing modern tools like Airflow, Spark, and dbt. Essential for data architecture design, data lakehouse implementation, and data governance.

Guides production ML engineering with patterns for deploying models, building MLOps pipelines, monitoring drift, integrating LLMs and RAG systems, and enforcing feature-store, retraining, and cost controls in live environments.

A comprehensive toolkit for professional security engineers. It covers the entire security lifecycle, including systematic threat modeling using STRIDE, designing secure architectures based on Zero Trust and Defense-in-Depth, conducting detailed vulnerability assessments (SAST/DAST), and implementing secure coding practices. Ideal for security audits, compliance reviews, and building resilient systems.

This pattern provides established best practices for implementing efficient similarity search in production systems. It is crucial for building semantic search engines, implementing Retrieval-Augmented Generation (RAG), creating advanced recommendation systems, and optimizing retrieval performance when scaling to millions of vectors.

A comprehensive guide for mastering Stripe payment processing integration. This skill covers robust, PCI-compliant payment flows, including setting up one-time payments, managing recurring subscriptions, handling webhooks, processing refunds, and implementing advanced features like Stripe Connect for marketplaces. Ideal for building secure e-commerce and SaaS billing systems.

This skill guides the creation of production-ready design systems using Tailwind CSS. It covers advanced topics such as implementing design tokens, managing component variants, establishing responsive patterns, and ensuring high accessibility standards. Use this when building component libraries, applying theming, or standardizing UI patterns across a large codebase.

A specialized skill for conducting comprehensive security architecture reviews, risk assessments, and threat identification. It masters advanced methodologies like STRIDE, PASTA, and attack tree construction. Use this to build secure-by-design systems, identify potential attack vectors, and strengthen system resilience before deployment.