1. Software Development

Provides guidance on using filesystem, Git, and runtime MCPs for Daylyou project development workflows.

Automates code flaw detection in peer reviews, identifying issues before developers review the code.

Breaks down large development tasks into small, sequential micro-tasks prior to coding.

Provides automated best practices for database schema migrations to ensure safe, consistent changes during application development cycles.

Enforces consistent project conventions for structure, documentation, version control, environment setup, and dependency management to ensure team-wide adherence to best practices.

Automates Chrome DevTools for web application testing, debugging, network analysis, and performance profiling.

Provides guidance on developing iMessage extensions using Apple's Messages framework, covering patterns, constraints, and best practices.

Offers implementation patterns for six classic games including card games, pool, and arcade-style titles.

Initializes Python projects with standardized directory layouts, configuration files, and industry best practices for efficient development.

Provides a standardized 5-phase workflow for efficient handling of common development tasks including bug fixes, small features, and code refactoring within 30-60 minutes.

Enables implementation of task filtering with customizable criteria like priority, status, and due dates in software applications.

Creates Phase 0 project setup prompts for TypeScript/Node.js, including structure and implementation plan templates.

Enables core Create, Read, Update, Delete operations for managing todo tasks in application data layers.

Enforces domain-driven design unit testing standards for Spring Boot with JUnit5/Mockito, strict validation, and DTO-only return patterns.

Provides React Native project scaffolding via comet CLI, handling initialization, configuration, and project structure setup using comet.yaml.

Generates Electron application code following Feature-Sliced Design (FSD) architecture and React 19 structure for components, features, and process organization.

Generates Pydantic v2 data models with validation, type hints, and configuration for robust data structure design in applications.

Provides comprehensive coding standards for Java and Spring Boot projects, emphasizing robustness, immutability, dependency injection, and maintainability.

Guides Java/Spring project planning and architecture decisions, emphasizing simplicity, robustness, and observability for new projects and microservices.

Systematic code review for Java and Spring code changes, ensuring adherence to best practices and maintainability.

Enforces visibility patterns for testability by detecting private methods and refactoring to private[module] object pattern, improving unit test coverage.

Executes system tests via pytest with strict response validation (Fail Fast) across 4 testing phases (infra, component, integration, scenarios) using docker-compose.

Reviews React/TypeScript frontend code in PRs for architecture, accessibility, testing, and adherence to Teetsh patterns.

Optimizes Cljr compiler and runtime performance through Span<T>, .NET 10 features, and allocation reduction strategies.