nextjs-code-reviewer
Comprehensive code review guidelines for Next.js 15 App Router projects
Skills matching the name, description or GitHub author.
Comprehensive code review guidelines for Next.js 15 App Router projects
Systematic code review guidance covering correctness, maintainability, security, and performance. Activates for PR reviews and code quality checks.
Streamlined code review workflow - gets SHAs and invokes superpowers:code-reviewer without permission prompts
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in...
This skill should be used when the user asks about "code quality", "file size limits", "function length", "KISS", "DRY", "YAGNI", "SRP", "best practices", "clean code", "cyclomatic complexity", "code review che...
Use when processing code review feedback. Technical evaluation of feedback, verify before implementing. No performative agreement or gratitude.
Local AI code reviews via CodeRabbit CLI. ONLY use when (1) user explicitly requests "coderabbit"/"cr review", OR (2) code changes are high-risk (security, concurrency, complex logic). Rate-limited to 1 review/...
C# software development with MVVM, Clean Architecture, TDD, CQRS, and DDD. Use for: linter warnings, build errors, refactoring, feature implementation, code review. Triggers: C#, .NET, MVVM, Clean Architecture,...
Systematic code review checklist for quality and security
Load PR comments and feedback for code review. Use when the user wants to see reviewer feedback, check for unresolved comments, understand what changes are requested, or review discussion on a PR.
Code review mode - comprehensive review with security, performance, and maintainability focus
This skill should be used when the user asks to "review code", "perform code review", "check code quality", "review PR", "provide code feedback", or needs guidance on code review best practices and standards in...
Deep Python knowledge for code reviews. Provides detailed guidance on iterables, data structures, standard library, validation, testing, concurrency, APIs, and security.
Comprehensive code review system for Elixir applications using Phoenix, LiveView, Ash Framework, LiveSvelte, TailwindCSS, and DaisyUI. Performs deep analysis of code quality, architectural patterns, test covera...
React performance optimization guidelines focused on Tanstack Start applications. Use when writing, reviewing, or refactoring React code with Tanstack Start, Tanstack Query, and Tanstack Router. Triggers on Rea...
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...
Provides comprehensive Python code review with focus on quality, bugs, security, and best practices. Use when reviewing Python code, functions, or modules for quality assessment.
Retrieve code diff from a GitHub Pull Request via GitHub API. Use this as the first step in a code review pipeline when reviewing GitHub PRs.
Triage and orchestrate code reviews. Analyzes PR intent, identifies touched surfaces, assesses risk, and routes to specialist skills. Does NOT perform detailed review - delegates to specialists. Supports full p...
Retrieve code diff from a local git commit. Use this as the first step in a code review pipeline when reviewing local commits.
Submit a code review to GitHub via the GitHub API. Use this as the final step in a code review pipeline to post review findings to a PR.
Perform thorough code reviews following Google's 5-step methodology. Use when reviewing pull requests, change lists, or any code changes to ensure quality, correctness, and maintainability.
Performs comprehensive code review of a GitHub PR. Use when: user wants to review a PR, check code changes, or analyze pull request.
Performs thorough code review with focus on correctness, security, performance, and maintainability. Provides actionable feedback with specific line references.
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.