1. Software Development

Provides guidance on Python coding standards, style conventions, and best practices for writing clean, maintainable code.

Analyzes codebase import dependencies to detect circular references and architectural layer violations, ensuring clean code structure.

Audits React codebases for structure, anti-patterns, and provides architecture guidance and migration planning.

Assesses test suite effectiveness by introducing code mutations to identify weak tests and measure mutation score beyond code coverage metrics.

Complete API development and documentation solution using Postman, featuring automation, CI/CD integration, and OpenAPI specification generation.

Implements Anthropic's JSON outputs mode with Pydantic/Zod for guaranteed schema compliance in data extraction, classification, and API responses.

Automates contract-first implementation by updating API contracts/models, then runtime, then tests.

Offers critical guidelines for safely modifying existing code to maintain quality, reduce bugs, and ensure architectural integrity.

Enforces mandatory CHANGELOG management and Semantic Versioning compliance across all projects, following Keep a Changelog standards.

Provides Django best practices derived from cookiecutter-django and real-world production experience for scalable application development.

Reads implementation plans, executes code changes, and logs progress to the execution log.

Validates API contracts and schemas, providing clear pass/fail results with actionable issue reports.

Automates multi-file code refactoring with parallel agents for consistent method renaming, pattern updates, and code smell resolution.

Provides standardized patterns and best practices for writing Makefiles across software development projects to improve build consistency and maintainability.

Provides guidelines for organizing and using CSS effectively, promoting maintainable and scalable frontend code.

Enables data-driven feature experimentation by building robust A/B testing infrastructure within React applications.

Analyzes codebases and applies clean code principles to improve maintainability in React and Next.js projects.

Automates minimal bug fix implementation by applying confirmed root causes and adhering to project PLAN.md guidelines.

Provides guidance on optimal coding patterns and practices for Node.js applications to enhance maintainability and performance.

Expert guidance for creating, configuring, and using Claude Code hooks to handle events, validate commands, and automate workflows.

Identifies untested code sections and suggests specific test cases to improve coverage, providing a report for developers.

Decomposes software features and bugs into executable tasks following FishBroWFS governance for efficient development workflows.

Automates local development setup, dependency installation, and test fixing until all tests pass.

Provides production-tested best practices and conventions for building scalable, maintainable FastAPI applications across all projects.