1. Software Development

Reviews .claude/ directory configuration files for structural integrity, frontmatter consistency, and description pattern adherence in agent/skill/hook definitions.

Provides TDD patterns, mocking techniques, and test structure best practices to enhance test coverage and maintainability in software development.

Validates successful build execution and enforces dependency locking for reproducible software development workflows.

Configures OpenAI Agents SDK for alternative LLM providers using base URL and API key settings.

Provides HTTP request mocking using the nock library for testing API interactions in Node.js applications.

Enables effective implementation of conventional commit standards, GitHub issue tracking, and pull request management for streamlined team-based software development.

Provides unit testing patterns using nock for HTTP request mocking without credentials, improving test isolation and security.

Provides OpenAPI schema rules (14-24) for response models, nullability handling, and data modeling in API specifications.

Guides developers on executing npm clean and generate scripts for regenerating TypeScript type definitions in project workflows.

Diagnoses and resolves common Model Context Protocol (MCP) server connection issues for OpenAI Agents SDK implementations.

Creates and configures Model Context Protocol (MCP) server connections for OpenAI Agents SDK integration, enabling agent communication.

Provides modular design patterns for integrating external services (e.g., payment, SMS) and designing service abstractions in backend systems.

Creates structured, best-practice rules for Claude Code to enforce coding standards, conventions, and guidelines during AI-assisted development.

Configures stdio-based Model Context Protocol (MCP) server connections for OpenAI Agents SDK integration, enabling agent communication.

Provides automated code reviews for Git changes, pull requests, and specific files, focusing on quality, security, and performance.

Configures Streamable HTTP Model Context Protocol (MCP) server connections for seamless integration with OpenAI Agents SDK.

Creates and configures HTTP servers using Server-Sent Events (SSE) and Model Context Protocol (MCP) for OpenAI Agents SDK integration.

Provides standardized error types and HTTP status code mappings for consistent API error responses in backend development.

Enables realistic integration testing using live API endpoints with credentials securely sourced from environment variables.

Provides standardized patterns and best practices for TypeScript configuration using tsconfig.json in development projects.

Provides reusable patterns for configuring axios clients, including request/response interceptors and standardized request handling.

Provides patterns for managing environment files (.env), including test data setup and secure credential loading in development workflows.

Provides guidelines for effective code commenting, including when to add comments and when to avoid them to improve code readability and maintainability.

Enforces standardized Git workflows, commit message formats, and version control practices for consistent team collaboration.