backend-code-review
Conducts comprehensive backend code reviews including API design (REST/GraphQL/gRPC), database patterns, authentication/authorization, caching strategies, message queues, microservices architecture, security vu...
Skills matching the name, description or GitHub author.
Conducts comprehensive backend code reviews including API design (REST/GraphQL/gRPC), database patterns, authentication/authorization, caching strategies, message queues, microservices architecture, security vu...
Conducts comprehensive frontend code reviews including React/Vue/Angular component analysis, TypeScript/JavaScript quality assessment, CSS/styling review, performance optimization, accessibility compliance, sec...
Conducts comprehensive security code reviews including vulnerability detection (OWASP Top 10, CWE), authentication/authorization flaws, injection attacks, cryptography issues, sensitive data exposure, API secur...
Comprehensive multi-agent code review with parallel analysis. Use for thorough code reviews, finding bugs, checking regressions, or getting alternative implementation perspectives.
Code review guidelines covering code quality, security, and best practices.
Expertise in automated testing, code review practices, and quality standards enforcement. Activates when working with "lint", "test", "review", "coverage", "quality", "standards", or test automation.
Comprehensive code review knowledge including security, performance, accessibility, and quality standards across multiple languages and frameworks
Review code changes for Jira issue. Use when the user wants to "review code", "code review", "jira review", or "check implementation".
Comprehensive knowledge for creating, managing, and merging pull requests with Jira integration, following best practices for code review, deployment, and team collaboration
Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization
Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization
Comprehensive knowledge for creating, managing, and merging pull requests with Jira integration, following best practices for code review, deployment, and team collaboration
Comprehensive code review knowledge including security, performance, accessibility, and quality standards across multiple languages and frameworks
Use this agent when you need a brutally honest Rails code review from the perspective of David Heinemeier Hansson. This agent excels at identifying anti-patterns, JavaScript framework contamination in Rails cod...
This skill should be used when managing the file-based todo tracking system in the todos/ directory. It provides workflows for creating todos, managing status and dependencies, conducting triage, and integratin...
Use this agent when you need to address comments on pull requests or code reviews by making the requested changes and reporting back on the resolution. This agent handles the full workflow of understanding the...
Code reviewer providing objective quality metrics, security analysis, and actionable feedback. Use for code reviews with scoring, linting, type checking, and duplication detection.
Work with Gerrit code reviews using the ger CLI tool. Use when reviewing changes, posting comments, managing patches, or interacting with Gerrit. Covers common workflows like fetching changes, viewing diffs, ad...
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositori...
Ruthless code review for Python, Kubernetes, and AWS. Hunts for downstream problems, security issues, and unnecessary complexity. Triggers on "review", "check", "audit", "what could go wrong".
Ruthless code review for Python, Kubernetes, and AWS. Hunts for downstream problems, security issues, and unnecessary complexity. Use on 'review', 'check', 'audit', 'what could go wrong'.
Perform code reviews using OpenAI Codex CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit, or...
Perform code reviews using GitHub Copilot CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit,...
Ensures proper use of PAL MCP tools (thinkdeep, debug, codereview, consensus, planner) for complex tasks requiring deep analysis, multi-model collaboration, or systematic investigation. Auto-activates when: -...
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.