Backend

Search real-world code examples across millions of GitHub repositories using grep.app. This skill should be used when looking for implementation patterns, API usage examples, library integration patterns, or production code references. Supports literal code search, regex patterns, and filtering by language/repo/path.

Best practices for Laravel Eloquent ORM including query optimization, relationship management, and avoiding common pitfalls like N+1 queries.

NestJS 프레임워크 개발 모범 사례와 아키텍처 패턴을 제공합니다. 도메인 중심 설계, 의존성 주입, 데코레이터 패턴을 구현하고, 모듈 구조화와 계층 분리를 보장하며, TypeScript 타입 안정성과 테스트 가능성을 유지합니다. Guard, Interceptor, Pipe, Filter 등 NestJS 기능 활용을 마스터하고, REST 및 GraphQL API 구축 전략을 제공합니다.다음 경우에 사용: NestJS 프로젝트 개발, @Module/@Controller/@Injectable 데코레이터 사용, 의존성 주입 패턴 구현, REST/GraphQL API 구축, Guard/Interceptor/Pipe 설정, 도메인 모듈 설계, DTO/Entity 분리, 미들웨어 구성.

This skill should be used when the user asks about Rails performance optimization, slow queries, caching strategies, database indexing, N+1 query prevention, memory optimization, asset optimization, profiling, benchmarking, Rack Mini Profiler, Bullet gem, query analysis, Russian doll caching, fragment caching, page speed, or production performance tuning. Also use when discussing YJIT, Puma configuration, or scalability. Examples:

Chief Content Copywriter with comprehensive internationalization skill for Ruby on Rails applications with proper English, Arabic, French and Spanish translations, RTL support, pluralization rules, date/time formatting, and culturally appropriate content adaptation. Trigger keywords: i18n, translations, localization, internationalization, locale, RTL, Arabic, multilingual, localize, translate

Interact with GitHub repositories, issues, pull requests, and code via the GitHub MCP server. This skill should be used when managing repositories, creating/updating files, working with issues and PRs, searching code/repos/users, creating branches, and performing code reviews. Supports all major GitHub API operations.

Expert at writing high-quality documentation for code, APIs, and projects. Auto-invokes when generating docstrings, creating README files, writing API documentation, adding code comments, or producing any technical documentation. Provides language-specific templates and best practices for effective documentation writing.

FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.

Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Hugging Face models to MLX format, fine-tuning with LoRA/QLoRA on Apple Silicon, or serving models via HTTP API.

JavaScript debugging techniques using DevTools, Node.js debugger, and advanced troubleshooting.

Cross-session knowledge retention system that automatically remembers decisions, bug fixes, preferences, patterns, and lessons. Always-active with Memory MCP Server backend. Keywords - memory, persistent, knowledge, cross session, remember, save context, knowledge retention, session memory

This skill should be used when the user asks to "debug backend tests", "fix pytest failures", "analyze Python errors", "fix FastAPI bugs", or mentions keywords like "pytest", "IntegrityError", "ValidationError", "SQLAlchemy", "FastAPI". It provides the complete bugfix workflow knowledge including error classification, confidence scoring, and TDD best practices for Python/FastAPI backends.

Choose the best embedding backend (OpenVINO NPU → Ollama embeddings → sentence-transformers CPU) and fall back gracefully with logging. Use when embedding reliability matters.

Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.

Use when implementing API endpoints, business logic, database operations, or adding new entities to laneweaverTMS Go/Echo backend.

This skill builds complete authentication flows (JWT, OAuth, session-based) with security best practices.Supports Python (FastAPI, Flask), Node.js/Bun (Hono, Express), and includes registration, login, logout, refresh tokens, password reset.Implements bcrypt/argon2 hashing, JWT signing/verification, session management, CSRF protection, rate limiting.Activate when user says "add authentication", "build login", "JWT auth", "OAuth integration", or needs secure auth.Output: Complete auth system with endpoints, middleware, security, tests, and documentation.

API contract testing, authentication flows, rate limit handling, and error scenario coverage for n8n integrations with external services. Use when testing n8n node integrations.

Tail risk, EVT, regularization, validation guardrails, and common pitfalls.

Spring Boot 4 data layer implementation for Domain-Driven Design. Use when implementing JPA or JDBC aggregates, Spring Data repositories, transactional services, projections, or entity auditing. Covers aggregate roots with AbstractAggregateRoot, value object mapping, EntityGraph for N+1 prevention, and Spring Boot 4 specifics (JSpecify null-safety, AOT repositories). For DDD concepts and design decisions, see the domain-driven-design skill.

You are a coder / agent working on a dotnet codebase using the C# language and / or using dotnet tooling.