Professional reviewer and critic. Trigger whenever the user wants structured feedback on anything: documents, plans, code, decisions, strategies, designs, pi...

Comprehensive code review assistant that analyzes code quality, identifies bugs, suggests improvements, and ensures adherence to best practices. Use when rev...

AI Code Review and Code Risk Review quality gate for Git Diff, release readiness, regression testing, security testing, dependency impact, runtime risk, LLM...

AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review i...

Guides structured help for Code Review Checklist using clear templates, checks, and safe defaults (category: Software Quality).

Enterprise-grade code review agent. Reviews PRs, diffs, or code files for security vulnerabilities, performance issues, error handling gaps, architecture smells, and test coverage. Works with any language, any repo, no dependencies required.

Pre-commit review: security scan, quality gates, auto-fix.

Multi-dimensional code audit using structured subagent delegation. Use when reviewing a GitHub release, PR, or codebase. Systematically inspects security, co...

Scan AI-generated code for hallucinated packages, stale APIs, security anti-patterns, and over-engineering. Use when: (1) reviewing PRs with AI-generated cod...

Pre-landing PR review. (gstack)

Indexed by skills.sh from garrytan/gstack

Proficient in multiple programming languages, optimizing code structure, fixing errors, and providing elegant solutions.

Three-tier code quality defense: L1 quick scan, L2 deep audit (via bug-audit), L3 cross-validation with adversarial testing. 三级代码质量防线。

Review AI-authored code for its characteristic failure modes — plausible-but-wrong logic, hallucinated APIs, over-engineering, dead scaffolding, and silent s...

AI-powered code review assistant — perform deep static analysis, identify security vulnerabilities, enforce coding standards, suggest refactoring patterns, a...

Analyzes code for improvements including code smells, design patterns, and best practices. Invoke when user asks for code analysis, code review, or suggestio...

AI-powered code review with intelligent model routing — saves 40%+ vs always using the most expensive model

Automatically review code to detect critical bugs, security flaws, performance issues, and style violations as a first-pass code auditor.

Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidanc...

Code review best practices and workflow skill. Use when: reviewing pull requests, performing peer code review, setting up code review standards, or improving...

AI-powered code review using Gemini. Reviews entire projects, catches bugs, suggests fixes, and helps debug.

AI-powered code review assistant that analyzes pull requests, identifies potential bugs, security issues, code quality problems, and provides actionable impr...

AI-powered code review assistant that analyzes code for bugs, security issues, performance problems, and style violations. Supports multiple programming lang...

Automated code review for GitHub pull requests using Claude LLM. PR analysis, security scanning, and style checking.

Generate a tailored code review checklist for any pull request based on the language, type of change, and risk level. Use when asked to review code, check a...

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use wh...

Multi-agent code review system using Manager-Worker pattern. Provides comprehensive code analysis from syntax, logic, security, and performance perspectives.

Automated code review with fix suggestions and in-place code repairs.

Review a pull request or diff like a thoughtful senior engineer — prioritized, kind, and focused on what matters. Use when reviewing code, giving PR feedback...

Provides comprehensive code review guidance for React 19, Vue 3, Rust, TypeScript, Java, Python, and C/C++. Helps catch bugs, improve code quality, and give...

Automated code review checking for bugs, security issues, best practices, performance problems, and code style

Enhanced code review with AI/ML-specific checks, multi-language support, security vulnerability patterns, and integration with automated testing. Covers secu...

Expert code review for embedded/firmware projects with dual-model cross-review (Claude + Codex via ACP). Detects memory safety, interrupt hazards, RTOS pitfa...

Use when the user asks for general frontend code review, PR review, merge-readiness assessment, architecture maintainability, type-safety, rendering/state ri...

Review code for quality, security, and maintainability following team standards. Use when reviewing pull requests, examining code changes, or when the user a...

Automated AI code review for GitLab Merge Requests via polling. Periodically checks for open MRs, reviews code diffs for security vulnerabilities, bugs, and...

Expert code review of current git changes with a senior engineer lens. Detects SOLID violations, security risks, and proposes actionable improvements.

Iterative code review using multiple independent subagent reviews. Use when user asks to review PR, code, or mentions "review", "审查", "检查代码", "代码质量". Assists...

Review a Java Maven project delivered as a ZIP archive or a GitLab repository URL for code规范, naming, module boundaries, maintainability problems, duplicated...

Expert-level code review for React Native and native iOS/Android applications. Use when reviewing mobile codebases for architecture, performance, security, o...

AI code review for security, performance, and quality. Returns scored issues and suggestions. $0.05 USDC via x402.

Batch AI code review for up to 500 snippets. Flat $15.00 USDC via x402.

Automated code review assistant. Analyzes code changes, PRs, and files for quality issues, best practices, security concerns, and style violations. Provides...

Parallel code review — dispatches two subagents to audit **runtime safety** (resource leaks, null paths, race conditions) and **architecture consistency** simultaneously, then merges and deduplicates into a single report. One pass covers two orthogonal bug dimensions.

Deploy an automated code review pipeline with 3 agents. Use this skill when: 1. User wants to set up an automated code review or PR analysis pipeline 2. User...

Run async diff-based code reviews using the Propel Review API, poll for completion, retrieve structured findings, and send comment feedback. Use when reviewi...

AI-powered code review for Q/kdb+ — catch bugs in the most terse language in finance

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technic...

Review code for correctness, security, performance, and maintainability.

Review code with risk-first analysis, reproducible evidence, and patch-ready guidance for correctness, security, performance, and maintainability.

Generates file-type-specific code review checklists covering security, performance, style, and testing best practices for pull requests.

Detect requests for accountable human review of code, architecture, technical designs, or niche-stack decisions, especially when senior expertise or human si...

Use when receiving code review feedback to verify, clarify, and evaluate technical correctness before implementing or responding, avoiding performative agree...

Code review that learns from failures. Reflex arc blocks repeat mistakes without LLM calls. Combines systematic checklist review (security, performance, corr...

Automated code review assistant. Analyzes code changes, PRs, and files for quality issues, best practices, security concerns, and style violations. Provides...

Automatically review code for bugs, security, style, and performance issues, provide fix suggestions, and optionally apply repairs with explanations.

Handles full GitCode PR code reviews by automating security scans, manual analysis, selecting top issues, formatting results, and optionally posting review c...

Perform a thorough code review of staged changes ensuring error handling, production readiness, code quality, and add comprehensive unit tests with specific...

Review backend code changes for correctness, security, architecture compliance, and test coverage per the applicable skill and checklist from AGENTS.md.

Structured code reviews with severity-ranked findings and deep multi-agent mode. Use when performing a code review, auditing code quality, or critiquing PRs,...

Process code review feedback critically: check correctness before acting, push back on incorrect suggestions, no performative agreement. Use when responding...

Review Node.js code for clear structure, error handling, security, performance, best practices, and proper testing coverage.

Indexed by skills.sh from awesome-skills/code-review-skill

Indexed by skills.sh from alibaba/open-code-review

Evidence-first structured review with source-tiered claims. For code, notes, agent output, and research. Inspired by gstack methodology and gbrain source-tie...

Multi-agent adversarial security review — 3 AI agents debate every finding, only real vulnerabilities survive

Extract a normalized JSON snapshot of a GitHub pull request — metadata, ordered review timeline, per-file diff annotations with inline review comments (outdated + resolved flags), and check-run / status-context results — primarily via the GitHub REST API with a rendered-HTML f…

Reviews and verifies code changes for scope, correctness, security, testing, secrets, and risks before commits, PRs, or deployments.

AI-powered service for pull request code reviews with optional voice note transcription, Discord alerts, and secure diff URL handling.

Use when reviewing pull requests or critiquing code changes and you want high-signal, low-noise feedback by running multiple adversarial agents that challeng...

Reviews App Intents code for intent structure, entities, shortcuts, and parameters. Use when reviewing code with import AppIntents, @AppIntent, AppEntity, Ap...

Reviews axum web framework code for routing patterns, extractor usage, middleware, state management, and error handling. Use when reviewing Rust code that us...

Reviews BubbleTea TUI code for proper Elm architecture, model/update/view patterns, and Lipgloss styling. Use when reviewing terminal UI code using charmbrac...

Use this skill when an architect, code consultant, or AHJ plan-reviewer needs to check a building design against IBC 2024 Chapter 10 (Means of Egress) before...

Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing n...

Reviews CloudKit code for container setup, record handling, subscriptions, and sharing patterns. Use when reviewing code with import CloudKit, CKContainer, C...

Reviews Combine framework code for memory leaks, operator misuse, and error handling. Use when reviewing code with import Combine, AnyPublisher, @Published,...

Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or...

Reviews Elixir code for idiomatic patterns, OTP basics, and documentation. Use when reviewing .ex/.exs files, checking pattern matching, GenServer usage, or...

Reviews ExUnit test code for proper patterns, boundary mocking with Mox, and test adapter usage. Use when reviewing _test.exs files or test helper configurat...

Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing FastAPI apps, checking APIRouter setup, D...

Reviews Rust FFI code for type safety, memory layout compatibility, string handling, callback patterns, and unsafe boundary correctness. Use when reviewing e...

Reviews Go code for idiomatic patterns, error handling, concurrency safety, and common mistakes. Use when reviewing .go files, checking error handling, gorou...

Reviews Go test code for proper table-driven tests, assertions, and coverage patterns. Use when reviewing *_test.go files.

Perform expert, security-first code reviews. Use when the user wants any code, diff, PR, or implementation audited for bugs, security issues, quality, perfor...

Reviews HealthKit code for authorization patterns, query usage, background delivery, and data type handling. Use when reviewing code with import HealthKit, H...

Reviews iOS animation code for correctness, performance, accessibility, and Apple API best practices. Use when reviewing .swift files containing animation co...

Use when reviewing AI-generated code for formatting consistency. Enforces naming, structure, comments, and style conventions. Optimized for Java.

Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGra...

Reviews Phoenix LiveView code for lifecycle patterns, assigns/streams usage, components, and security. Use when reviewing LiveView modules, .heex templates,...

AI-powered code analysis via LogicArt — find bugs, security issues, and get logic flow visualizations. Use when reviewing code, analyzing code quality, findi...

Reviews Rust macro code for hygiene issues, fragment misuse, compile-time impact, and procedural macro patterns. Use when reviewing macro_rules! definitions,...

Reviews user-modified code (diffs/PRs), provides best-practice recommendations, analyzes cost-effectiveness of the approach, and outputs a code score. Use wh...

Security, performance, and style analysis for code

Reviews Phoenix code for controller patterns, context boundaries, routing, and plugs. Use when reviewing Phoenix apps, checking controllers, routers, or cont...

Reviews PostgreSQL code for indexing strategies, JSONB operations, connection pooling, and transaction safety. Use when reviewing SQL queries, database schem...

Reviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code with prometheus/client_golang metrics.

Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture u...

Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usag...

AI-powered code analysis via LogicArt — find bugs, security issues, and get logic flow visualizations. Use when reviewing code, analyzing code quality, findi...