backend

Plugin backend from marketplace errorproof-skills in errorproofdev/skills. Commands read from the repo's manifest — 5 days ago.

Skills (25)

• api-documentation-generator

  Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices

• api-endpoint-builder

  Builds production-ready REST API endpoints with validation, error handling, authentication, and documentation. Follows best practices for security and scalability.

• api-patterns

  API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

• app-builder

  Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

• cqrs-implementation

  Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.

• dbos-golang

  Guide for building reliable, fault-tolerant Go applications with DBOS durable workflows. Use when adding DBOS to existing Go code, creating workflows and steps, or using queues for concurrency control.

• ddd-strategic-design

  Design DDD strategic artifacts including subdomains, bounded contexts, and ubiquitous language for complex business domains.

• django-perf-review

  Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues", or audit Django code for performance problems.

• domain-driven-design

  Plan and route Domain-Driven Design work from strategic modeling to tactical implementation and evented architecture patterns.

• dotnet-architect

  Expert .NET backend architect specializing in C#, ASP.NET Core, Entity Framework, Dapper, and enterprise application patterns.

• dotnet-backend-patterns

  Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).

• fp-errors

  Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code

• fp-refactor

  Comprehensive guide for refactoring imperative TypeScript code to fp-ts functional patterns

• fp-types-ref

  Quick reference for fp-ts types. Use when user asks which type to use, needs Option/Either/Task decision help, or wants fp-ts imports.

• gdb-cli

  GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation

• grpc-golang

  Build production-ready gRPC services in Go with mTLS, streaming, and observability. Use when designing Protobuf contracts with Buf or implementing secure service-to-service transport.

• haskell-pro

  Expert Haskell engineer specializing in advanced type systems, pure

• java-pro

  Master Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.

• nodejs-backend-patterns

  Comprehensive guidance for building scalable, maintainable, and production-ready Node.js backend applications with modern frameworks, architectural patterns, and best practices.

• nodejs-best-practices

  Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.

• os-scripting

  Operating system and shell scripting troubleshooting workflow for Linux, macOS, and Windows. Covers bash scripting, system administration, debugging, and automation.

• python-patterns

  Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

• python-performance-optimization

  Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

• squirrel

  Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

• temporal-python-testing

  Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios.

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