1. Software Development

Offers a detailed guide and template for creating architecture design documents, used exclusively during software architecture design phases.

Enables development with Next.js App Router features such as Server Components, data fetching patterns, and component boundaries.

Generates comprehensive functional design documents detailing system requirements and behavior for software development projects.

Provides guidance on Python development best practices such as code style, type hints, logging, testing, and error handling for maintainable code.

Optimizes Next.js applications using image, font, and code splitting techniques to enhance performance and Core Web Vitals.

Guides architecture decisions for Orca components, covering knowledge graphs, MCP server structure, telemetry, and refactoring with decision capture workflows.

Provides patterns for implementing GraphQL resolvers with Dataloader, context handling, authorization, and error management.

Provides a comprehensive reference to quickly understand any code repository by mapping patterns in documentation, code, configuration, Git history, and conversation history.

Provides implementation guidance for design patterns (e.g., factory, strategy), SOLID principles, and Pythonic approaches in code.

Guides on implementing high-quality Go tests following best practices, including naming conventions, table-driven tests, and testify framework usage.

Automatically identifies technology stack, frameworks, and development environment of a codebase to aid developers in project context understanding.

Provides Go testing best practices including table-driven tests, race detection, coverage, and mocking strategies for writing and reviewing tests.

Provides Go error handling patterns including error wrapping, custom error types, and error checking utilities for robust code.

Guides when and how to split large Go source files to manage size, LOC limits, and improve code organization.

Provides idiomatic Go error handling patterns for common issues like error wrapping, sentinel errors, and lint violations.

Creates isolated working directories for branch management in NEO project, streamlining feature development and code isolation.

Conducts code reviews to verify SDD specification consistency, coding conventions, security, and test quality.

Enables progressive MCP tool integration in Claude Code with incremental discovery, on-demand schema hydration, and procedural workflows outside the LLM loop.

Provides a structured methodology for identifying and resolving software bugs, test failures, and unexpected behavior before implementing solutions.

Requests peer code reviews for major features and task completion to validate code quality and requirement adherence before merging.

Performs automated code reviews and generates quality audit reports to maintain code integrity and development standards.

Provides techniques and patterns to reduce cognitive complexity and improve maintainability in Go code through refactoring.

Provides CQRS and DDD implementation patterns for .NET, covering aggregate design, command/query handlers, and repository setup.

Enables users to create, implement, and extend custom skills for the Claude Code platform within the repository.