1. Software Development

Automates new plugin structure creation including directory setup, template expansion, and marketplace.json registration for Claude Code.

Guides developers in writing clean, maintainable code using industry best practices including DRY, SOLID, and composition patterns for consistency and readability.

Provides best practices for Convex database development including queries, mutations, actions, real-time subscriptions, and authentication integration.

Generates DDD/CQRS code skeletons for .NET projects following unified conventions, including domain models, DTOs, EF Core mappings, repositories, commands, queries, and controllers.

Automates WordPress Gutenberg block creation with staged context loading for efficient development workflows.

Provides structured Vue 3 project architecture with recommended tech stack and development guidelines for frontend applications.

Provides Elixir-specific system design patterns, context boundaries, and scalable architecture guidance for distributed applications.

Guides modern Elixir development with idiomatic practices, functional patterns, testing strategies, and implementation best practices.

Guides the planning and design of microservices architecture for scalable, independent service-based systems.

Configures Supabase projects with table schemas, RLS policies, environment variables, and TypeScript type definitions for backend development.

Enables developers to implement features while interleaving test cases, promoting test-driven development for robust code quality.

Automates pushing a local Git branch to a remote repository and creating a GitHub pull request.

Provides a troubleshooting guide for IPC communication issues between Electron main and renderer processes.

Assists in developing and debugging unit/integration tests for Python microservices using pytest, including fixtures and mocking external services.

Builds MCP server tools and resources for Bitcoin mining operations management in Braiins OS.

Translates Figma design mockups into production-ready frontend code with pixel-perfect accuracy for UI implementation.

Provides scalable architecture guidelines and system design patterns for Python projects, including best practices for project structure.

Automates applying Copilot-generated code review feedback and resolving comments in pull requests.

Provides comprehensive testing strategies using Vitest, Jest, and Testing Library for reliable code validation and quality assurance.

Provides design patterns and best practices for creating efficient database schemas in both SQL and NoSQL environments.

Provides modern React component architecture patterns using hooks, composition, and TypeScript for building scalable frontend applications.

Enforces critical safety checks before git operations to prevent accidental data loss in collaborative development environments.

Provides gRPC client development patterns for connection pooling, retry logic, and error recovery in Braiins OS miner integration.

Enables developers to write tests before implementation code, ensuring robust and reliable software through iterative test-driven development cycles.