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Found 21 Skills
Guide feature development with architecture patterns for any tech stack. Covers frontend, backend, full-stack, and automation projects. Use when adding new features, modifying systems, or planning changes.
Game architecture patterns and best practices for browser games. Use when designing game systems, planning architecture, structuring a game project, or making architectural decisions about game code.
Code quality specialist: architecture patterns, refactoring, code review, development practices. 23 methodologies.
Specialized in Component diagrams (Level 3) with folder structure mapping. Use this skill when the user needs to zoom into a single container to identify internal components, their responsibilities, and how they map to actual code folders (src/services, internal/).
AWS development with infrastructure automation and cloud architecture patterns
System design and architecture expert for creating scalable distributed systems. Covers system design interviews, architecture patterns, and real-world case studies like Netflix, Twitter, Uber. Use when designing systems, writing architecture docs, or preparing for system design interviews.
NestJS best practices and architecture patterns for building production-ready applications. This skill should be used when writing, reviewing, or refactoring NestJS code to ensure proper patterns for modules, dependency injection, security, and performance.
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.
Architecture patterns and best practices for giving AI agents email capabilities. Use when designing how agents send, receive, and manage email conversations, building two-way communication loops, implementing human-in-the-loop approval with drafts, choosing between WebSockets and webhooks, setting up multi-agent email topologies, handling OTP and verification flows, or securing agent email against prompt injection.