code review Agent Skills

code-review is a mandatory review workflow for code changes before commits and deploys. It helps teams run a structured /code-review step, choose an engine, and get actionable feedback instead of a generic pass. Ideal for pre-merge checks, release candidates, and high-stakes refactors.

code-review is an AI-powered CodeRabbit skill for reviewing changed code, PRs, staged commits, and diff ranges. It helps catch bugs, security issues, and quality risks, then groups findings by severity so agents can act on them quickly. Use it for structured code review instead of generic critique.

code-review-excellence helps agents produce clearer, more constructive code reviews with better prioritization, reviewer tone, and actionable feedback for pull requests, mentoring, and team review standards.

flutter-dart-code-review is a library-agnostic Flutter and Dart code review checklist for architecture, widget quality, state management, performance, accessibility, security, and clean code. Use it as a structured flutter-dart-code-review guide for Code Review across BLoC, Riverpod, Provider, GetX, MobX, Signals, or custom patterns.

code-review-and-quality is a structured pre-merge review skill that checks correctness, readability, architecture, security, and performance. Install it from the parent repo, read skills/code-review-and-quality/SKILL.md, and use it with diffs, task context, and test results for stronger review decisions.

requesting-code-review is a lightweight workflow for dispatching the superpowers:code-reviewer subagent with a clean git diff, requirements, and change summary so reviews happen at the right time and produce actionable, severity-ranked feedback before merge.

code-reviewer is an AI code review skill that follows a strict review order: security, performance, correctness, and maintainability. It uses rule files for SQL injection, XSS, N+1 queries, error handling, naming, and type hints, making PR reviews more consistent than a generic review prompt.

codex-review is a GitHub skill for OpenAI Codex CLI code review with GPT-5.2-Codex. It helps teams catch bugs, security issues, and code quality problems with structured findings, GitHub-native review flows, and CI/CD-friendly usage.

The code-reviewer skill guides structured PR and diff reviews for correctness, security, performance, testing, and maintainability, using repository references and a checklist script to make Code Review more consistent and actionable.

Review skill for pre-landing PR review. Use it to check diffs against the base branch for SQL safety, trust-boundary issues, shell injection, enum completeness, and other structural risks. Best for a review guide that helps agents flag real defects fast with less guesswork than a generic prompt.

receiving-code-review helps you verify PR feedback before editing code. Use it to restate review comments, check them against the codebase, ask for clarification on unclear items, and push back when suggestions do not fit.

gemini-review is a Gemini-powered code review skill for large repositories and PRs. It uses Gemini 2.5 Pro and 1M-token context to review code with less chunking, better cross-file reasoning, and CI/CD-friendly feedback.

plan-eng-review is an interactive engineering plan review skill for locking down architecture, data flow, edge cases, test coverage, performance, and rollout risk before coding begins. Use the plan-eng-review skill when you have a design doc or implementation plan and want sharper feedback than a generic review prompt.

github-pr-review is a GitHub PR review skill for collecting inline comments, PR-level review bodies, and replies, then organizing feedback by severity so you can fix blockers first. Use it to resolve PR comments, respond to reviewers, and update the branch with targeted commits and thread replies. It fits the github-pr-review guide for authenticated GitHub CLI workflows.

code-reviewer is a lightweight skill for Code Review that turns code or diffs into a structured report covering security, performance, best practices, severity, affected lines or sections, recommended fixes, and an overall quality score.

review audits Claude Code auto-memory in MEMORY.md to find promotion candidates, stale references, duplicates, consolidation opportunities, and health checks for Context Engineering workflows.

md-review converts markdown PR writeups with unified diff fences and severity callouts into a single-file, two-column HTML code review. It uses parser, annotation, and renderer scripts, requires a named reviewer, supports BLOCKER/MAJOR/MINOR/NIT conventions, and preserves accessible severity cues.

The check skill reviews code diffs, PRs, issue queues, release readiness, commits, pushes, publishing, and project audits. Use it when you need a disciplined check for Code Review before merge or release, with safety gates for dirty and untracked worktrees. It is not for exploring ideas, debugging root causes, or prose review.

adversarial-reviewer is a prompt-only Claude skill for adversarial code review. It reviews diffs, commits, or files through Saboteur, New Hire, and Security Auditor personas, classifies severity, and returns BLOCK / CONCERNS / CLEAN merge guidance. Best for pre-merge reviews of risky changes; it has no external dependencies.

critique is a report-only review skill that uses multiple specialized judges, debate, and consensus to assess completed work. It helps with critique for Code Review, correctness, quality, and missed issues before merging. Install critique in the NeoLabHQ context-engineering-kit and use it with file paths, commits, or context.

spec-to-code-compliance verifies that code matches written specifications exactly for blockchain audits and Compliance Review. Use the spec-to-code-compliance skill to compare whitepapers, design docs, and implementations, identify missing behavior, and flag undocumented or divergent logic.

autofix helps safely turn CodeRabbit PR review-thread feedback into validated code changes on the current GitHub branch. Use this autofix skill when you need a branch-aware CodeRabbit for Code Review workflow with explicit approval, not a generic prompt-following fixer. It checks repo state, reads trusted instructions, and applies only verified fixes.

python-anti-patterns is a Python code review checklist for spotting fragile patterns like scattered retries, timeout duplication, and hidden complexity before merge, during refactoring, or while debugging.

codex is an OpenAI Codex CLI wrapper skill for code review, adversarial challenge, and consult workflows. Use codex review for pass/fail review gates, codex challenge to stress-test ideas, and ask codex for follow-up reasoning with session continuity. It is best when you have a diff or concrete question.