Best Claude Skills for Code Review (2026)

Best Claude Skills for Code Review Automation

Code review is one of the most time-intensive activities in software development. Manually checking pull requests for style violations, security vulnerabilities, and architectural inconsistencies drains developer hours each week. Claude Code skills reduce this load by handling repetitive checks while you focus on logic and architecture.

Skills are .md files in ~/.claude/skills/, invoked with /skill-name. Here are the skills that deliver the most value in code review workflows.

Test-Driven Review with the tdd Skill

The tdd skill is the most direct tool for review automation. Rather than reviewing untested code and hoping for the best, use it to verify test coverage before approving a PR.

/tdd analyze this pull request diff and identify which functions lack test coverage: [paste diff]

/tdd write missing tests for UserService.resetPassword() based on this implementation: [paste function]

/tdd check this test suite for common coverage gaps: no boundary tests, no error path tests, missing async error handling

Development teams using this approach report catching coverage gaps before merge that would otherwise surface as production bugs. The skill suggests specific edge cases based on the code pattern. numeric boundary conditions, null inputs, async failure paths. rather than generic advice.

Reviewing Against Specifications with the pdf Skill

When code must implement a PDF specification or comply with requirements documents, manual cross-referencing is tedious and error-prone. The pdf skill extracts the requirements so you can review against them directly.

/pdf extract all numbered requirements from api-spec-v2.pdf

Then in the same session:

/tdd verify this implementation satisfies requirements 4.1 through 4.7 from the spec: [paste requirements, paste implementation]

This catches implementation drift. where code evolves away from original requirements across multiple PRs without anyone tracking the gap.

Documentation Completeness with the docx Skill

Many teams require documentation updates alongside code changes. The docx skill reads and creates Word documents, which is useful when your PR process involves reviewing .docx API references or runbooks.

/docx read API-reference-v3.docx and list all endpoints documented there

Compare the output against the endpoints in the PR diff:

Are these new endpoints from the PR documented in the API reference?
New endpoints: POST /users/bulk, DELETE /users/{id}/sessions
Documented endpoints: [paste docx output]

For teams maintaining external APIs or compliance documentation, this prevents missing parameter descriptions and stale return types from reaching external consumers.

Consistent Standards with the supermemory Skill

The supermemory skill maintains institutional knowledge across review sessions. Store your team’s established conventions once, then recall them in every review.

/supermemory store: code-review-standards = no console.log in production code, all async functions must have try/catch, use named exports not default exports, SQL queries must use parameterized inputs

In a future review session:

/supermemory What are our code review standards?

Then apply them:

Review this PR diff against our standards: [paste recalled standards]
Diff: [paste diff]
Flag every violation.

This eliminates the inconsistency where one reviewer flags issues another would have ignored. The stored conventions become the shared baseline.

Frontend Validation with the frontend-design Skill

For web application PRs, the frontend-design skill validates UI code against design system rules and accessibility requirements.

/frontend-design review this component for design token violations. our primary color is #1A73E8, spacing grid is 8px, border radius is 4px: [paste component]

/frontend-design check this React component for WCAG 2.1 AA issues: missing aria labels, low contrast, keyboard navigation gaps: [paste component]

This catches visual inconsistencies before they reach production, keeping brand guidelines and design system rules enforced across all components.

Custom Review Skills for Specific Concerns

Beyond the built-in skills, create custom review skills tailored to your stack. A security-focused skill in ~/.claude/skills/review-security.md:

review-security
You are a security code reviewer. Analyze code for common vulnerabilities:

1. SQL injection: check for string concatenation in queries
2. XSS: verify user input is properly escaped
3. Authentication: ensure passwords are hashed, sessions are validated
4. Secrets: no API keys or credentials in source code
5. Dependencies: flag known CVEs in package.json
For each finding, provide:
- Severity (critical, high, medium, low)
- Location (file and line number)
- Recommended fix
Do not flag false positives. Only report actual security issues.

Invoke it with /review-security Review src/auth/ and src/api/ for security vulnerabilities.

Comparing Skill Approaches

Skill Best For Limitations
tdd General code quality, test coverage Focused on TDD workflow
supermemory Persistent standards, team memory Requires initial setup
pdf / docx Spec compliance, documentation Only relevant for documented requirements
frontend-design UI consistency, accessibility Frontend-specific
Custom skills Specific concerns (security, performance) Must be created and maintained

For most teams, the combination of tdd + supermemory + one custom security skill provides comprehensive coverage without overwhelming complexity.

Pre-Commit Hook Setup

For local enforcement before code reaches CI, wire skills into a pre-commit hook:

#!/bin/bash
.git/hooks/pre-commit
Make executable: chmod +x .git/hooks/pre-commit
STAGED=$(git diff --cached --name-only --diff-filter=ACM | grep -E '\.(js|ts|jsx|tsx)$')
if [ -z "$STAGED" ]; then
 exit 0
fi
echo "Running Claude Code skill review..."
OUTPUT=$(claude --print "/tdd
List any staged files that are missing test coverage. Be brief. one line per file.
Staged files: $STAGED")
echo "$OUTPUT"
Fail if tdd skill found uncovered files
if echo "$OUTPUT" | grep -q "missing"; then
 echo "Pre-commit: test coverage issues found. Fix before committing."
 exit 1
fi

CI Pipeline Integration

For GitHub Actions, drive Claude Code with --print to get structured output and fail the build if issues are found:

.github/workflows/claude-review.yml
name: Claude Code Review
on: [pull_request]
jobs:
 skill-review:
 runs-on: ubuntu-latest
 steps:
 - uses: actions/checkout@v4
 with:
 fetch-depth: 0
 - name: Install Claude Code
 run: npm install -g @anthropic-ai/claude-code
 - name: TDD coverage check
 env:
 ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
 run: |
 CHANGED=$(git diff --name-only origin/${{ github.base_ref }}...HEAD | grep -E '\.(js|ts)$' | grep -v test)
 if [ -n "$CHANGED" ]; then
 claude --print "/tdd
Check if these files have corresponding test files: $CHANGED
If any lack tests, exit with a non-zero summary." > review-output.txt
 cat review-output.txt
 fi
 - name: Frontend design check
 env:
 ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
 run: |
 CHANGED_UI=$(git diff --name-only origin/${{ github.base_ref }}...HEAD | grep -E '\.(tsx|jsx)$')
 if [ -n "$CHANGED_UI" ]; then
 claude --print "/frontend-design
Review these component files for accessibility and hook correctness: $CHANGED_UI"
 fi

Pair this with a CLAUDE.md security checklist so security requirements become implicit context for every review:

Security Review Checklist (CLAUDE.md)
When reviewing authentication code:
- Check for hardcoded secrets or API keys
- Verify JWT expiration is set and validated
- Confirm password hashing uses bcrypt or argon2 (never MD5/SHA1)
- Check for SQL injection via unsanitized inputs

A Practical Review Pipeline

Combining these skills into a structured review workflow produces consistent results:

Step 1. Recall team standards:

/supermemory What are our code review standards?

Step 2. Check coverage:

/tdd analyze coverage gaps in this diff: [paste diff]

Step 3. Verify spec compliance (if applicable):

/pdf extract requirements from requirements.pdf

Then cross-reference against the implementation.

Step 4. Validate frontend (if applicable):

/frontend-design check for design token and accessibility violations: [paste changed components]

Step 5. Store any new decisions:

/supermemory store: [date] decided to allow default exports in legacy modules only, new modules use named exports

Each stage produces specific, actionable findings. The result is faster reviews with fewer inconsistencies, and a growing institutional memory that makes each subsequent review easier.

This site was built by 5 autonomous agents running in tmux while I was in Bali. 2,500 articles. Zero manual work. 100% quality gate pass rate. The orchestration configs, sprint templates, and quality gates that made that possible are in the Zovo Lifetime bundle. Along with 16 CLAUDE.md templates and 80 tested prompts. **[See how the pipeline works →](https://zovo.one/lifetime?utm_source=ccg&utm_medium=cta-skills&utm_campaign=best-claude-skills-for-code-review-automation)** $99 once. I'm a solo dev in Da Nang. This is how I scale.

Related Reading

Related guides: Best Way to Use Claude Code for Code Review Prep

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