This skill provides structured workflows for developing modern React and Next.js applications with App Router, Server Components, and TypeScript. It guides you through project setup, component architecture, styling, data fetching, routing, forms, testing, and deployment.

Architect React Native apps with Expo, navigation patterns, native modules, and offline-first sync. This skill provides production-ready patterns for building cross-platform mobile applications.

Legacy React codebases become difficult to maintain and miss performance improvements. This skill guides you through version upgrades, hooks migration, and adopting React 18 concurrent features.

Creating visual workflow editors requires consistent node component patterns. This skill provides TypeScript templates with proper type definitions, handles, and Zustand store integration.

Creating complex node-based graph visualizations requires managing hierarchical data, performance optimization, and state synchronization. This skill provides proven patterns for building production-ready ReactFlow applications with efficient rendering and advanced navigation.

Poor React performance leads to slow load times and frustrated users. This skill provides 45 prioritized rules from Vercel Engineering to eliminate waterfalls, reduce bundle sizes, and optimize rendering.

Implementing RAG systems requires coordinating multiple components including embeddings, vector databases, and retrieval pipelines. This workflow provides a structured approach to build production-ready RAG applications.

RAG systems often fail due to poor chunking strategies and naive retrieval. This skill provides expert patterns for semantic chunking, hybrid search, and context optimization to build production-grade retrieval systems.

Struggling with inconsistent AI outputs and unreliable responses. Learn proven prompt engineering patterns that maximize LLM performance, reliability, and controllability.

Create production-ready, accessible design systems with Radix UI primitives. This skill provides patterns for headless component customization, theming strategies, and compound component architecture for React applications.

Develop and backtest algorithmic trading strategies with risk metrics and portfolio optimization. Get actionable insights for quantitative finance without requiring deep expertise in financial modeling.

Writing maintainable tests is challenging. This skill provides comprehensive pytest patterns including fixtures, mocking, parameterization, and TDD workflows to help you build reliable test suites.

Python developers struggle with outdated practices and fragmented tooling knowledge. This skill delivers production-ready expertise in Python 3.12+, modern tooling like uv and ruff, async patterns, and performance optimization in one comprehensive resource.

Slow Python code wastes resources and frustrates users. This skill provides systematic profiling and optimization techniques to identify bottlenecks and improve performance.

Stop copying code patterns without understanding. Learn to make informed Python architecture decisions based on your specific project context, framework needs, and team requirements.

Python developers struggle with complex packaging workflows and inconsistent project structures. This skill provides complete guidance for creating professional Python packages using modern standards like pyproject.toml and setuptools.

This skill provides a comprehensive workflow for building production-ready Python FastAPI backends with database integration, authentication, testing, and deployment patterns.

Setting up Python projects with proper structure and tooling is time-consuming and error-prone. This skill instantly generates complete, production-ready project scaffolds with modern best practices built in.

This skill helps you generate comprehensive pairwise test cases using combinatorial testing techniques. It enables efficient test coverage by identifying the minimum number of test combinations needed to expose defects.

Improve LLM outputs with proven prompt engineering techniques. This skill provides patterns for chain-of-thought reasoning, few-shot learning, and template systems that make AI interactions more reliable and controllable.