architecture▌

Recommendation: Use TypedDict for most cases. Use Pydantic when you need validation or complex nested structures.

This skill provides guidance for quality focused software development and architecture. It is based on Clean Architecture and Domain Driven Design principles.

Mamba is a state-space model architecture achieving O(n) linear complexity for sequence modeling.

42 Clean Architecture rules organized by priority for designing maintainable, testable software systems. \n \n Covers 8 rule categories from dependency direction and entity design (critical) through testing architecture (low-medium), each with specific guidance and code examples \n Dependency rules enforce inward-pointing dependencies, interface ownership, and acyclic component graphs to prevent architectural decay \n Entity and use case rules isolate business logic from frameworks, persistence,

Comprehensive guide to designing, implementing, and maintaining microservices architectures. Covers service decomposition, communication patterns, data management, deployment strategies, and observability for distributed systems.

Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns for context. Provides frameworks for pattern selection, ADR creation, and technical debt management.

CSS architecture patterns for scalable, maintainable styling systems across teams and projects. \n \n Covers three core methodologies: BEM (Block Element Modifier) for component naming, SMACSS for modular organization, and CSS-in-JS with Styled Components for dynamic styling \n Includes reference guides for CSS Variables, Utility-First CSS (Tailwind pattern), and practical implementation examples \n Best suited for large-scale stylesheets, component-based design systems, and multi-team collabora

Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decomposition, strategic DDD context mapping, or code outside the domain layer (DTOs, controllers, infrastructure adapters).

Runs a sequenced monolith-to-modular pipeline that sizes and inventories components, finds shared domain duplication, addresses flattening and hierarchy issues, analyzes coupling, then groups components into candidate domain-aligned units, with optional embedded DDD strategic analysis for bounded contexts. Use when asking how to split a monolith, size components before extraction, find duplicated domain logic, clean up module hierarchy, measure coupling between modules, or group components into services. Do NOT use for phased extraction roadmaps or prioritization without the prior analysis steps (use decomposition-planning-roadmap after this pipeline), end-to-end legacy migration strategy writeups (use legacy-migration-planner), pure infrastructure capacity sizing, or when you only need DDD without the structural pipeline (install domain-analysis standalone).

AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks.