đCode Review Skills
Browse the best Code Review skills for Claude Code, Codex, Cursor and other AI agents.
2,558 skills · Page 1 of 107
ultrathink-detective
⥠PRIMARY TOOL for: 'comprehensive audit', 'deep analysis', 'full codebase review', 'multi-perspective investigation', 'complex questions'. Combines ALL detective perspectives (architect+developer+tester+debugger). Uses Opus model. REPLACES grep/glob entirely. Uses claudemem v0.3.0 AST with ALL commands (map, symbol, callers, callees, context). GREP/FIND/GLOB ARE FORBIDDEN.
code-review
This skill should be used when the user asks to "review code", "review PR", "code review", "audit code", "check for bugs", "security review", "review my changes", "find issues in this code", "review the diff", or asks for pull request review or code audit.
review-implementation
Use after hyperpowers:executing-plans completes all tasks - verifies implementation against bd spec, all success criteria met, anti-patterns avoided
php-modernization
Agent Skill: PHP 8.x modernization patterns. Use when upgrading to PHP 8.1/8.2/8.3/8.4/8.5, implementing type safety, or achieving PHPStan level 10. By Netresearch.
go-code-review
Go code review skill synthesized from 4,100+ PR review comments spanning 4.5 years from the tetrateio/tetrate repository. Use this skill when reviewing Go code, providing code review feedback, or understanding common review patterns. Contains patterns for error handling, nesting reduction, thread safety, testing, naming, interface design, and more.
code-review
Perform thorough code reviews with focus on security, performance, maintainability, and best practices. Use when reviewing code changes, pull requests, entire files, or codebase audits across any programming language.
code-reviewing
Performs systematic code review with universal best practices and repo-specific standards. Auto-activates after significant code changes. Use when reviewing code, auditing files, checking PRs, examining staged changes, or when asked to "review", "check", "audit", or "examine" code. Enforces design principles (SOLID, DRY, KISS), security (OWASP), performance, concurrency safety, cross-platform compatibility, and codebase patterns.
linter-driven-development
META ORCHESTRATOR for complete implementation workflow - design, test, lint, refactor, review, commit. Use for any code change that should result in a commit (features, bug fixes, refactors). Ensures clean code with tests, linting passes, and design validation.
meta-cognitive-reasoning
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requiring rigorous analytical reasoning. Prevents premature conclusions, assumption-based errors, and pattern matching without verification.
python-dev-practices
Python development best practices for modern Python projects. Activated when working with Python files, pyproject.toml, or discussing Python patterns, testing, linting, type hints.
comprehensive-code-review
This skill should be used when reviewing pull requests, performing comprehensive code review, analyzing code changes before merge, or when the user asks for thorough/ultra-critical code review. Performs EXTREMELY CRITICAL 6-pass analysis identifying runtime failures, code consistency issues, architectural problems, environment compatibility risks, and verification strategies. Posts structured review as GitHub PR comment. Use when user asks to "review PR", "review this code", "review changes", "check this PR", "analyze PR", "post review", or for Phase 3 of devflow. Supports parallel review mode with multiplier (code-review-3, code-review 6X) for consensus-based reviews. This is an ultra-critical reviewer that does not let things slip and desires only perfection.
code-review
Comprehensive code review knowledge including security, performance, accessibility, and quality standards across multiple languages and frameworks
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
performance-optimization
Apply systematic performance optimization techniques for Python and Rust code: estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, and compiler-friendly hot loops. Use for performance code reviews, refactors, and profiling-driven optimizations. Keywords: performance, latency, throughput, cache, allocation, memory layout, PyO3, msgspec, tokio, async, pprof, py-spy, perf.
code-review
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
Gemini
A powerful skill for Claude agents.
code-review
Coordinate multi-agent code review with specialized perspectives. Use when conducting code reviews, analyzing PRs, evaluating staged changes, or reviewing specific files. Handles security, performance, quality, and test coverage analysis with confidence scoring and actionable recommendations.
review
Review code quality, security, and maintainability before committing. Use when reviewing code changes, checking code quality, performing security review, or validating changes before commit.
review
Reviews code for quality, security, performance, and accessibility issues. Use when user mentions ăŹăă„ăŒ, review, ăłăŒăăŹăă„ăŒ, ă»ăă„ăȘăăŁ, ăăă©ăŒăăłăč, ćèłȘăă§ăăŻ, ă»ă«ăăŹăă„ăŒ, PR, diff, 〿ŽçąșèȘ. Do NOT load for: ćźèŁ äœæ„, æ°æ©èœéçș, ăă°äżźæŁ, ă»ăăăąăă.
swift-concurrency
Expert guidance on Swift Concurrency concepts. Use when working with async/await, Tasks, actors, MainActor, Sendable, isolation domains, or debugging concurrency compiler errors. Helps write safe concurrent Swift code.
code-review
Systematically review pull requests, feature implementations, and code changes to ensure quality, maintainability, security, and adherence to best practices. Use when reviewing code before merging, conducting peer reviews, performing self-reviews, auditing code quality, checking for security vulnerabilities, ensuring consistent coding standards, verifying test coverage, assessing performance implications, evaluating architectural decisions, or providing constructive feedback to improve team code quality.
react-best-practices
Provides React patterns for hooks, effects, refs, and component design. Covers escape hatches, anti-patterns, and correct effect usage. Must use when reading or writing React components (.tsx, .jsx files with React imports).
ln-620-codebase-auditor
Coordinates 9 specialized audit workers (security, build, architecture, code quality, dependencies, dead code, observability, concurrency, lifecycle). Researches best practices, delegates parallel audits, aggregates results into single Linear task in Epic 0.
requesting-code-review
Gate 4 of development cycle - dispatches 3 specialized reviewers (code, business-logic,security) in parallel for comprehensive code review feedback.