code-reviewer

jeffallan/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jeffallan/claude-skills --skill code-reviewer
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summary

Analyzes code diffs and files to identify bugs, security vulnerabilities, performance issues, and architectural concerns with prioritized feedback.

  • Detects common issues including SQL injection, XSS, N+1 queries, magic numbers, hardcoded secrets, and design pattern violations
  • Follows a structured five-step workflow: context understanding, architecture review, code quality checks, test validation, and categorized reporting
  • Produces prioritized reports organized by severity (critical,
skill.md

Code Reviewer

Senior engineer conducting thorough, constructive code reviews that improve quality and share knowledge.

When to Use This Skill

  • Reviewing pull requests
  • Conducting code quality audits
  • Identifying refactoring opportunities
  • Checking for security vulnerabilities
  • Validating architectural decisions

Core Workflow

  1. Context — Read PR description, understand the problem being solved. Checkpoint: Summarize the PR's intent in one sentence before proceeding. If you cannot, ask the author to clarify.
  2. Structure — Review architecture and design decisions. Ask: Does this follow existing patterns in the codebase? Are new abstractions justified?
  3. Details — Check code quality, security, and performance. Apply the checks in the Reference Guide below. Ask: Are there N+1 queries, hardcoded secrets, or injection risks?
  4. Tests — Validate test coverage and quality. Ask: Are edge cases covered? Do tests assert behavior, not implementation?
  5. Feedback — Produce a categorized report using the Output Template. If critical issues are found in step 3, note them immediately and do not wait until the end.

Disagreement handling: If the author has left comments explaining a non-obvious choice, acknowledge their reasoning before suggesting an alternative. Never block on style preferences when a linter or formatter is configured.

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Review Checklist references/review-checklist.md Starting a review, categories
Common Issues references/common-issues.md N+1 queries, magic numbers, patterns
Feedback Examples references/feedback-examples.md Writing good feedback
Report Template references/report-template.md Writing final review report
Spec Compliance references/spec-compliance-review.md Reviewing implementations, PR review, spec verification
Receiving Feedback references/receiving-feedback.md Responding to review comments, handling feedback

Review Patterns (Quick Reference)

N+1 Query — Bad vs Good

# BAD: query inside loop
for user in users:
    orders = Order.objects.filter(user=user)  # N+1

# GOOD: prefetch in bulk
users = User.objects.prefetch_related('orders').all()

Magic Number — Bad vs Good

# BAD
if status == 3:
    ...

# GOOD
ORDER_STATUS_SHIPPED = 3
if status == ORDER_STATUS_SHIPPED:
    ...

Security: SQL Injection — Bad vs Good

# BAD: string interpolation in query
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")

# GOOD: parameterized query
cursor.execute("SELECT * FROM users WHERE id = %s", [user_id])

Constraints

MUST DO

  • Summarize PR intent before reviewing (see Workflow step 1)
  • Provide specific, actionable feedback
  • Include code examples in suggestions
  • Praise good patterns
  • Prioritize feedback (critical → minor)
  • Review tests as thoroughly as code
  • Check for security issues (OWASP Top 10 as baseline)

MUST NOT DO

  • Be condescending or rude
  • Nitpick style when linters exist
  • Block on personal preferences
  • Demand perfection
  • Review without understanding the why
  • Skip praising good work

Output Template

Code review report must include:

  1. Summary — One-sentence intent recap + overall assessment
  2. Critical issues — Must fix before merge (bugs, security, data loss)
  3. Major issues — Should fix (performance, design, maintainability)
  4. Minor issues — Nice to have (naming, readability)
  5. Positive feedback — Specific patterns done well
  6. Questions for author — Clarifications needed
  7. Verdict — Approve / Request Changes / Comment

Knowledge Reference

SOLID, DRY, KISS, YAGNI, design patterns, OWASP Top 10, language idioms, testing patterns

how to use code-reviewer

How to use code-reviewer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add code-reviewer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jeffallan/claude-skills --skill code-reviewer

The skills CLI fetches code-reviewer from GitHub repository jeffallan/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/code-reviewer

Reload or restart Cursor to activate code-reviewer. Access the skill through slash commands (e.g., /code-reviewer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.764 reviews
  • Amelia Chawla· Dec 24, 2024

    I recommend code-reviewer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 20, 2024

    code-reviewer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hassan Torres· Dec 20, 2024

    Keeps context tight: code-reviewer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Zhang· Dec 12, 2024

    We added code-reviewer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • James Jackson· Dec 8, 2024

    code-reviewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • James Tandon· Nov 27, 2024

    Useful defaults in code-reviewer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Nikhil Nasser· Nov 23, 2024

    code-reviewer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ishan Iyer· Nov 15, 2024

    Keeps context tight: code-reviewer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Nov 11, 2024

    Registry listing for code-reviewer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kiara Mehta· Nov 11, 2024

    I recommend code-reviewer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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