1. Software Development

Generates standardized pytest configuration with fixtures, markers, and coverage settings, creating conftest.py and pytest.ini for workspace-hub compliance.

Automates batch synchronization across multiple Git repositories, streamlining code management in multi-repo development environments.

Executes software implementation plans via structured subagent dispatch and two-stage code review for spec compliance and quality.

A structured four-phase debugging methodology focused on root cause analysis to prevent random fixes and ensure systematic problem-solving in software development.

Comprehensive toolkit for code quality evaluation, PR analysis, and report generation across multiple programming languages.

Enforces Test-Driven Development (TDD) methodology with RED-GREEN-REFACTOR cycle for writing tests first, preventing regressions, and ensuring code correctness.

Runs local code quality checks, tests, and type validation before commits to prevent CI failures and maintain code health.

Provides consistent error handling patterns with custom error codes, result wrappers, and HTTP status mapping for services and APIs.

Adds shadcn/ui components via pnpm and normalizes generated Tailwind color classes to Scaffa theme tokens for consistent styling.

Generates production-ready Flutter apps with Riverpod state management, GoRouter navigation, and Material 3 design standards.

Provides standardized patterns for building FastAPI REST endpoints with consistent route definitions, request/response models, error handling, and test integration.

Guides developers through a consistent feature implementation workflow: reading requirements, creating todos, coding, testing, documentation, and committing.

Provides standardized patterns for writing tests, ensuring consistent naming, structure, and coverage across all test cases in software development.

Generates production-ready Flutter apps with Vibe-Coded standards using Riverpod, GoRouter, and Material 3, leveraging deep Flutter internals knowledge.

Transforms specifications and design documents into structured, actionable task lists optimized for AI coding agents in software development.

Validates podcast RSS feeds against official specifications, ensuring channel metadata, episode elements, and XML structure compliance.

Scaffolds Pydantic models with advanced validation rules for request/response data in backend services.

Scaffolds new Python agent structures in 'src/agents/' for autonomous AI tasks like resume analysis and job matching.

Automates React page generation from Figma design specifications using a page scaffolder.

Validates consistency between TypeScript interfaces and Pydantic models to prevent type mismatches in API contracts.

Automates creation of pytest unit tests for Python backend functions, classes, and FastAPI endpoints.

Deprecated tool for generating React component structure. Use component-builder for M3-compliant, production-grade components.

Automates creation of React page directories with routing integration, including required files for components and layouts.

Provides expert guidance on code refactoring, identifying code smells, and implementing clean architecture and best practices to enhance software quality.