Skill UI

Guides designers of language-model multi-agent systems through supervisor, swarm, and hierarchical patterns while stressing context isolation, coordination protocols, and token economics for complex research or tool-intensive workflows.

Catalogs proven n8n workflow architectural patterns for webhook handling, APIs, database syncing, AI agents, and scheduled tasks, helping teams pick structures, plan nodes, and handle triggers, data paths, and error strategies during workflow design and troubleshooting.

Expert guidance on designing highly scalable, distributed NoSQL databases, specifically covering Apache Cassandra and Amazon DynamoDB. This skill emphasizes the 'Query-First' modeling approach, teaching best practices like partitioning, denormalization, single-table design, and avoiding common anti-patterns (e.g., hot partitions, joins) to ensure optimal read/write performance at massive scale.

A comprehensive guide to designing, configuring, and optimizing Nx monorepo workspaces. This skill covers best practices for project structure (apps, libs), dependency management, optimizing build caching, enforcing module boundaries, and setting up complex build pipelines for large-scale JavaScript/TypeScript applications.

This skill provides comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. It supports generating specs from existing codebases, implementing design-first approaches, and ensuring robust API contract compliance. Ideal for creating detailed API documentation, generating client SDKs, or setting up centralized API portals.

Automates OpenAPI specification work by guiding API developers through best practices, generating production-ready code/configs, and validating outputs for REST, GraphQL, and authentication design patterns.

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

A comprehensive expert guide for mastering Prisma ORM. It covers deep knowledge of schema design best practices, managing complex database migrations across PostgreSQL, MySQL, and SQLite, and optimizing various query patterns (N+1, select, raw queries). Use this skill to build robust, performant, and scalable backend services.

Document describes structured prompts, chain-of-thought guidance, few-shot examples, system prompt design, and tooling advice for building reliable prompt engineering workflows in LLM-augmented products.

Guides engineers through advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability across few-shot learning, reasoning patterns, templates, and system prompt design.

This guide outlines best practices for building highly flexible and maintainable React components. It addresses common architectural pitfalls, such as 'boolean prop proliferation,' by recommending advanced patterns like compound components, state lifting, and context providers. Use this when refactoring large component libraries, designing robust APIs, or reviewing component architecture, including considerations for React 19 APIs.

A comprehensive guide to modern React UI patterns. It covers best practices for managing application states, including determining when to use skeleton loaders vs. spinners, implementing robust error handling hierarchies (inline, toast, banner), and designing effective empty states. Essential for building high-quality, user-friendly components that handle asynchronous data gracefully.