Code review is where most teams either catch problems or wave them through. The difference usually comes down to knowing what to look for. These skills focus on the mechanical side of code quality: complexity analysis, refactoring patterns, security review, type safety, and the kind of structural issues that automated linters miss. They're for developers who want reviews that actually improve the codebase, not just approve the PR.
Key takeaway
ClaudeVault's code quality and review skills give Claude Code structured workflows for the problems automated linters miss — cyclomatic complexity gone wild, race conditions in async code, accessibility regressions under WCAG 2.2 AA, OWASP Top 10 vulnerabilities, and the slow accretion of tech debt. Teams running these skills report PR reviews finishing in about 20 minutes instead of sitting in the backlog until Friday.
When PR reviews are piling up and the team is waving changes through just to clear the backlog
When a legacy codebase needs a debt audit before the next large migration and nobody wants to read every file
When an accessibility deadline is approaching and WCAG 2.2 AA compliance is the acceptance criterion
When a concurrency bug has shipped to production and the team needs a second pair of eyes on every async path
A full Claude Code review pass layers these skills from the highest-leverage structural checks down to line-level security and accessibility reads.
Start with the code reviewer. Claude reads the diff in context, flags logic errors, inconsistency with existing patterns, and missing edge cases. The output is a ranked list of inline comments — severity-tagged so humans can triage quickly instead of reading the entire diff line by line.
For changes touching more than a handful of files, the complexity analyzer computes cyclomatic and cognitive complexity per function and per module. Claude flags any function that crossed the team's threshold so reviewers have something concrete to push back on when a blob of logic shows up unreviewable.
When the diff touches components, the accessibility auditor cross-checks against WCAG 2.2 AA using axe-core and jsx-a11y rules. Claude calls out missing aria attributes, contrast failures, focus traps, and keyboard navigation issues before QA has to chase them down manually.
Auth, payment, and database code paths get the secure code reviewer pass. Claude cross-references the OWASP Top 10:2025 and ASVS 5.0, calls out injection and deserialization risks, and explains why each finding matters instead of dumping a rule ID without context.
Outcome
A reviewed PR with categorized findings, a complexity budget the team can argue about, and an audit trail the next incident response can trace back to.
| Skill | Best for | Complexity | Primary use case |
|---|---|---|---|
| Code Reviewer | Day-to-day PR review | Intermediate | Logic, consistency, and edge case review |
| Refactor Advisor | Legacy codebases ripe for cleanup | Intermediate | Identifying refactor candidates with impact estimates |
| Code Complexity Analyzer | Codebases where functions keep growing | Beginner | Cyclomatic and cognitive complexity budgets |
| Tech Debt Assessor | Pre-migration audits and quarterly debt reviews | Advanced | SQALE-style debt inventories with payoff ranking |
| Accessibility Auditor | UI changes targeting WCAG 2.2 AA | Intermediate | axe-core and jsx-a11y rule coverage |
| Concurrency Reviewer | Async code with shared mutable state | Advanced | Race conditions, deadlocks, and backpressure paths |
| Secure Code Reviewer | Auth, payment, and data handling code | Advanced | OWASP Top 10:2025 and ASVS 5.0 checks |
Use when reviewing code for security vulnerabilities before deploying to production or when handling user input, authentication, or sensitive data. Identifies OWASP Top 10 flaws, injection vectors, and auth bypass patterns. Application security, vulnerability analysis, secure coding.
Hunts for exploitable vulnerabilities in application code, prioritizing findings by actual exploitability: can an attacker reach the code path, control the input, and cause harm?
Use when reviewing UI code for WCAG compliance, screen reader support, or keyboard navigation. Identifies concrete a11y violations with WCAG criterion references and fix code. Accessibility audit, WCAG 2.2, screen reader, keyboard navigation, a11y.
Use when you need a structured code review. Checks for bugs, style violations, and architectural issues with actionable feedback organized by severity. Code review, pull request review, code quality, PR feedback.
Reads code critically and provides specific, actionable feedback — not vague impressions.
Quantifies code complexity using cyclomatic, cognitive, and nesting metrics, then prescribes specific decomposition strategies. Use when code is hard to understand, modify, or test. Cyclomatic complexity, cognitive complexity, refactoring, decomposition.
Measure first, then prescribe. Never suggest "simplify this" without identifying what specifically makes it complex and how the refactored version would score differently. Calculate these for every
Traces execution order of concurrent code to find race conditions, deadlocks, resource leaks, and ordering bugs. Use when reviewing async/await, Promises, goroutines, threads, or event-driven patterns. Concurrency, async, parallelism, thread safety.
Finds concurrency bugs that only manifest under load or in production — never in local development.
Use when code needs restructuring for clarity, maintainability, or testability. Identifies code smells, suggests extraction patterns, and plans safe incremental refactoring sequences that preserve behavior. Code refactoring, clean code, code smells.
Identifies code that would benefit from restructuring and proposes safe, incremental transforms that improve maintainability without changing behavior.
Evaluates technical debt with business impact scoring and produces a prioritized remediation backlog. Use when planning a tech debt sprint, when a codebase feels slow to work in, or when evaluating whether a rewrite is justified. Tech debt, prioritization, maintainability.
Identifies which technical debt is actively costing the team time, which is creating risk, and which can be safely ignored.
Most Claude Code reviews finish in roughly 20 minutes, which is faster than the human backlog they tend to replace. Cost and speed scale with diff size and review depth — a trivial one-file change completes in seconds, a multi-directory refactor can take a few reviewer-passes worth of token budget.
No — they are complementary. SonarQube brings thousands of deterministic rules and owns the gating layer; Claude Code reads the diff in context and explains the why behind each finding. The strongest setups pipe Sonar findings into Claude Code via the SonarQube MCP server so deterministic rules feed Claude's contextual judgement.
Yes. The accessibility auditor skill maps component diffs against WCAG 2.1 and 2.2 AA using axe-core and jsx-a11y rules. Claude flags missing aria attributes, contrast failures, focus traps, and keyboard navigation issues, explaining each one so designers can argue back if the fix is narrower than it looks.
The concurrency reviewer walks async code paths — promises, channels, locks, shared state — and hunts for race conditions, deadlocks, and missing backpressure. Claude writes down the specific interleaving that would break the code rather than shrugging at 'potential concurrency issue,' which is the usual AI answer.
No. Claude Code posts findings as inline comments with severity tags, but it does not approve or merge. The final human approval step stays intact — Anthropic's own guidance is to treat AI reviews as an additional reviewer, not a replacement for the one who actually owns the code.
The secure code reviewer cross-checks the diff against the OWASP Top 10:2025 and ASVS 5.0 categories — injection, broken access control, cryptographic failures, insecure deserialization, and the rest. Claude explains the attack path and impact, not just the rule ID, so the team can decide whether the risk is worth shipping.