Skills matching the name, description or GitHub author.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, or Claudish proxy for code review, consensus analysis,...
Comprehensive Spring Framework and Spring Boot best practices including dependency injection patterns, bean lifecycle and scopes, REST API development, Spring Data JPA, service layer design, Spring Security, te...
Comprehensive Django best practices covering project structure, models (field choices, Meta options, managers, QuerySets, migrations), views (CBVs vs FBVs, generic views), Django REST Framework (serializers, Vi...
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integ...
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585, 604, 612, 613), and type hint best practices for Python 3.9+. Use during code...
Comprehensive Python testing best practices, pytest conventions, test structure patterns (AAA, Given-When-Then), fixture usage, mocking strategies, code coverage standards, and common anti-patterns. Essential r...
Comprehensive Java development best practices covering SOLID principles, DRY, Clean Code, Java-specific patterns (Optional, immutability, streams, lambdas), exception handling, collections, concurrency, testing...
Expert code review specialist. Reviews code for quality, security, and maintainability. Use immediately after writing or modifying code, or when you need thorough code quality assessment.
Reviews code for architecture, performance, API design, and maintainability. AUTOMATICALLY INVOKE when user mentions "review", "PR", "pull request", "code review", "backend review", or "analyze code". Verifies...
Apply Domain-Driven Design, Clean Architecture, CQRS, and command/query patterns to code reviews and feature design. Use when analyzing or designing code in Application, Service, Infrastructure, DataAccess, Val...
Reviews React/TypeScript UX code for accessibility, performance, component design, and user experience. Specializes in React, TypeScript, Material-UI, and frontend architecture. Verifies against latest React.de...
Snapshot the current directory into pseudo-XML for LLM context. Use when you need to share a repo (or a sub-tree) with Codex/LLMs, especially for code review/debugging, generating an agent-friendly “repo snapsh...
Systematic code review checklist
Creating and Managing Sub-agents in Claude Code. Design agent personas, define proactive triggers, set tool permissions, structure agent files. Use when building specialized agents for code review, debugging, a...
Systematic code review guidance and automation. Apply TRUST 5 principles, check code quality, validate SOLID principles, identify security issues, and ensure maintainability. Use when conducting code reviews, s...
Automated code review with SOLID principles, code smells, and language-specific best practices.
Use this agent when you need to review code changes in a pull request or after writing/modifying code. The agent performs comprehensive code review following established team standards, categorizing findings as...
Role definition for code reviewer agents. Defines review criteria, feedback patterns, and approval workflows. Use to understand how to review PRs and provide constructive feedback.
Provides comprehensive code review checklist following team standards. Use when reviewing pull requests or preparing code for review.
Comprehensive code review standards covering security, quality, performance, testing, and documentation. Includes checklists, common issues, and best practices for thorough code reviews.
Comprehensive code review skill for FastAPI projects. Analyzes codebase against industry best practices covering async patterns, project structure, Pydantic usage, dependency injection, database patterns, testi...
**ALWAYS USE THIS SKILL** when asked to review a PR or given a PR URL. Provides systematic workflow for code review.
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.