Loading...
Loading...
Found 44 Skills
Senior Backend Architect for NestJS v11 (2026). Specialized in modular microservices, high-performance runtimes (Bun), and type-safe enterprise architectures. Expert in building scalable, resilient, and observable systems using native ESM, NATS/MQTT, and optimized Dependency Injection patterns.
Guide for Convex backend development fundamentals including function types (queries, mutations, actions), layered architecture, HTTP actions, and the core mental model. Use when building Convex backends, creating queries/mutations/actions, implementing HTTP webhooks, or understanding Convex's reactive data model. Activates for Convex project setup, function definition, API design, or backend architecture tasks.
Quick reference for n8n patterns. Full docs /AGENTS.md
處理跨 Bounded Context 的依賴關係。當需求涉及多個限界上下文（如權限管理、付款、通知）時觸發，設計 Anti-Corruption Layer 和 Context Mapping。
Action-oriented architecture for Laravel. Invokable classes that contain domain logic. Use when working with business logic, domain operations, or when user mentions actions, invokable classes, or needs to organize domain logic outside controllers.
A comprehensive skill for creating new ddd4j (Domain-Driven Design for Java) projects based on ddd4j-boot framework. Use ONLY when the user explicitly mentions creating a ddd4j project, initializing ddd4j project, or setting up ddd4j-boot project. Supports three project types: single-module monolith, multi-module monolith, and microservices. Generates project scaffolding based on ddd4j-boot architecture with DDD, Hexagonal Architecture, Clean Architecture, and COLA V5 patterns. Do NOT trigger for generic DDD projects, JPA/Hibernate projects, or other ORM frameworks without explicit ddd4j mention.
CQRS (Command Query Responsibility Segregation) patterns for separating read and write models. Use when optimizing read-heavy systems, implementing event sourcing, or building systems with different read/write scaling requirements.
Principal backend engineering intelligence for Python services and data systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale backend code and architectures. Focus: correctness, reliability, performance, security, observability, scalability, operability, cost.
Expert implementation guide for custom Clean Architecture pattern in Golang projects. Use when implementing features with domain-driven design, creating API endpoints, or working with this specific 4-layer architecture (Domain, Application, Integration, Infrastructure). NOT Uncle Bob's standard Clean Architecture - this is a specialized adaptation with strict dependency rules and specific conventions.
[Pragmatic DDD Architecture] Guide for creating DDD Entities and Aggregates. Use when defining new domain entities with business rules, private state, and getters. Covers entity instantiation via objects, integration with Value Objects, and the rule against using setters.
Production Python engineering patterns covering architecture, observability, testing, performance/concurrency, and core practices. Use when designing Python systems, implementing async/sync APIs, setting up monitoring, structuring tests, optimizing performance, or following Python best practices.
Generate Python FastAPI code following project design patterns. Use when creating models, schemas, repositories, services, controllers, database migrations, authentication, or tests. Enforces layered architecture, async patterns, OWASP security, and Alembic migration naming conventions (yyyymmdd_HHmm_feature).