1. Software Development

Provides universal software engineering best practices for code refactoring, system design, and ensuring production-ready quality across any language or project.

Automates MCP server integration testing with pytest (Python) and Vitest (TypeScript) via MCP Inspector CLI for real data validation.

Provides production-ready migration from FastMCP v2.x to v3.0, handling breaking changes and ensuring zero-regression with architecture pattern conversion.

Guides implementation of Cafe24 Admin API tools including endpoint creation, refactoring, and Zod schema definition for mcp-cafe24-admin server.

Enables static type checking in Python code to validate type annotations and prevent type-related errors during development.

Provides professional-grade Python code linting, formatting, and configuration with Ruff for improved code quality and consistency.

Fetches up-to-date documentation for libraries, frameworks, and APIs to address changes beyond the model's training cutoff.

A methodology for writing tests before code to ensure high quality, guide development, and facilitate refactoring during feature implementation and bug fixes.

Provides safe refactoring patterns to improve code structure, eliminate duplication, and enhance readability without altering functionality.

Ensures clean and efficient Git workflows for team collaboration, including commits, syncing, and sharing changes across multiple contributors.

Rapidly validates technical feasibility of new technologies, approaches, or integrations before full implementation.

Analyzes codebase structure, dependencies, and call paths to help developers navigate unfamiliar code, detect circular imports, and generate project overviews.

Automates code quality checks for JavaScript and TypeScript, enforcing style rules and fixing issues to maintain consistent and clean codebases.

Enforces clean commit practices and task linking across any project to maintain repository health and traceability.

Guides users through Spec-Driven Development (SDD) using GitHub's Spec-Kit for new and existing projects, with automated feature status tracking.

Comprehensive coaching for modern Python development, from fundamentals to advanced patterns including FastAPI, pytest, and pandas data processing.

Applies software engineering best practices to system design, code review, refactoring, and architectural decisions for improved maintainability.

Systematically evaluates software architecture across scalability, maintainability, security, performance, reliability, and cost dimensions for informed design decisions.

Identifies and resolves performance bottlenecks in software systems to meet SLAs and improve response times.

Generates and manages Architecture Decision Records (ADRs) to document key architectural choices, rationale, and trade-offs in software development.

Executes delegated software development tasks with diligence, hygiene, and stability to meet specifications.

Provides configuration and troubleshooting assistance for Claude Context Hooks (CCH), a Rust-based runtime for controlling Claude Code behavior via hooks.yaml.

Automates GitHub Pull Request code reviews by analyzing code against industry standards and optionally adding inline comments.

Expert guidance on Git CLI operations, workflows, and automation for efficient version control, branch management, and conflict resolution in modern software development.