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Found 64 Skills
Use when structuring or refactoring Convex codebases with Domain-Driven Design boundaries, repository abstractions, adapters for external APIs, and transaction-safe workflows.
Use when working on Hono projects or adding Hono into a codebase. Enforces Hono architecture rules for app composition, route modules, middleware, validation, error handling, testing, and typed RPC boundaries before any code change.
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.
Coordinates project structure: SCAFFOLD new or RESTRUCTURE existing to Clean Architecture
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 backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
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.
Audits a FastAPI project against architecture rules. Use when asked to "review routes", "check architecture", "audit this project", "does this follow fastapi rules", or "review my code structure".
[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).