1. Software Development

Provides structured debugging methodology to efficiently identify and resolve software issues without random code changes.

Systematically inspects unit and E2E tests to verify they test correct behavior, provide meaningful coverage, and catch real regressions.

Creates MCP servers for LLMs to interact with external APIs, supporting Python (FastMCP) and Node/TypeScript (MCP SDK).

Initializes or updates project structure for Claude Code and MPM, configuring dependencies and development environment.

Replaces arbitrary timeouts with condition polling for reliable asynchronous test execution.

Guides developers to avoid common testing anti-patterns, such as testing mock behavior and adding test-specific methods to production code.

Analyzes application session errors to identify root causes and provides actionable improvement suggestions for software reliability.

Dispatches a code-review subagent to validate implementation against project requirements and plans prior to development continuation.

A methodology for writing tests before code to ensure functionality and maintainability in software development.

Suite for building complex, multi-component Claude.ai HTML artifacts using React, Tailwind CSS, and shadcn/ui with state management and routing capabilities.

Displays version information for the mpm package manager, enabling developers to verify tool versions and compatibility.

Traces software bugs backward through the call stack to identify the root cause of issues.

Enables integration with freee's accounting and HR APIs via MCP, providing reference documentation and usage guides for developers.

Generates implementation plans for backend APIs and frontend features using the RAPID architecture framework.

Executes tests with local database setup and repository pattern to validate data access layer functionality.

Verifies successful code builds and applies standardized code formatting after implementation to ensure quality and consistency.

Systematically identifies the underlying cause of software bugs through structured analysis, moving beyond surface-level symptoms.

Guides the test-driven development cycle to ensure code reliability and design quality through iterative testing and refactoring.

Applies scientific method to software debugging through hypothesis formation and validation.

Promotes structured software development by emphasizing solution design prior to coding, ensuring efficient and maintainable implementation.

Provides proven patterns for writing maintainable and reliable software tests, enhancing code quality and test coverage.

Enables structured multi-stage code reviews to deliver thorough, constructive feedback on code quality and design.

Guides implementation of state management using proxy-based reactivity and lens pattern in state-ref projects.

Guides complete CRUD API development from entity modeling to controller implementation, including DTOs, services, and database migrations for backend systems.