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Structures git workflow practices for making code changes, committing, branching, and resolving conflicts.

Manages deprecation and migration. Use when removing old systems, APIs, or features.

Simplifies code for clarity while preserving behavior, making it easier to read, maintain, and extend.

Conducts multi-axis code review to assess code quality across correctness, readability, architecture, security, and performance before merging changes.

Guides stable API and interface design for creating REST or GraphQL endpoints and defining type contracts between modules.

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.

Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional pattern matching falls short.

Automated code review across TypeScript, JavaScript, Python, Swift, Kotlin, and Go with quality analysis and security scanning. \n \n Three core scripts: PR analyzer for automated scaffolding, code quality checker for deep analysis and performance metrics, and review report generator for structured output \n Includes comprehensive reference documentation covering code review checklists, coding standards, and common antipatterns with real-world examples \n Supports modern tech stacks including Re