version: "1.0.0" name: code-review-pro description: Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.

Code Review Pro

Deep code analysis covering security, performance, maintainability, and best practices.

When to Use This Skill

Activate when the user:

• Asks for a code review
• Wants security vulnerability scanning
• Needs performance analysis
• Asks to "review this code" or "audit this code"
• Mentions finding bugs or improvements
• Wants refactoring suggestions
• Requests best practice validation

Instructions

1. Security Analysis (Critical Priority)

• SQL injection vulnerabilities
• XSS (cross-site scripting) risks
• Authentication/authorization issues
• Secrets or credentials in code
• Unsafe deserialization
• Path traversal vulnerabilities
• CSRF protection
• Input validation gaps
• Insecure cryptography
• Dependency vulnerabilities

1. Performance Analysis

• N+1 query problems
• Inefficient algorithms (check Big O complexity)
• Memory leaks
• Unnecessary re-renders (React/Vue)
• Missing indexes (database queries)
• Blocking operations
• Resource cleanup (file handles, connections)
• Caching opportunities
• Excessive network calls
• Large bundle sizes

1. Code Quality & Maintainability

• Code duplication (DRY violations)
• Function/method length (should be <50 lines)
• Cyclomatic complexity
• Unclear naming
• Missing error handling
• Inconsistent style
• Missing documentation
• Hard-coded values that should be constants
• God classes/functions
• Tight coupling

1. Best Practices

• Language-specific idioms
• Framework conventions
• SOLID principles
• Design patterns usage
• Testing approach
• Logging and monitoring
• Accessibility (for UI code)
• Type safety
• Null/undefined handling

1. Bugs and Edge Cases

• Logic errors
• Off-by-one errors
• Race conditions
• Null pointer exceptions
• Unhandled edge cases
• Timezone issues
• Encoding problems
• Floating point precision

1. Provide Actionable Fixes

• Show specific code changes
• Explain why change is needed
• Include before/after examples
• Prioritize by severity

Output Format

# Code Review Report
 
## 🚨 Critical Issues (Fix Immediately)
### 1. SQL Injection Vulnerability (line X)
**Severity**: Critical
**Issue**: User input directly concatenated into SQL query
**Impact**: Database compromise, data theft
 
**Current Code:**

const query = SELECT * FROM users WHERE email = '${userEmail}';

 
**Fixed Code:**

const query = 'SELECT * FROM users WHERE email = ?'; db.query(query, [userEmail]);

 
**Explanation**: Always use parameterized queries to prevent SQL injection.
 
## ⚠️ High Priority Issues
### 2. Performance: N+1 Query Problem (line Y)
[Details...]
 
## 💡 Medium Priority Issues
### 3. Code Quality: Function Too Long (line Z)
[Details...]
 
## ✅ Low Priority / Nice to Have
### 4. Consider Using Const Instead of Let
[Details...]
 
## 📊 Summary
- **Total Issues**: 12
  - Critical: 2
  - High: 4
  - Medium: 4
  - Low: 2
 
## 🎯 Quick Wins
Changes with high impact and low effort:
1. [Fix 1]
2. [Fix 2]
 
## 🏆 Strengths
- Good error handling in X
- Clear naming conventions
- Well-structured modules
 
## 🔄 Refactoring Opportunities
1. **Extract Method**: Lines X-Y could be extracted into `calculateDiscount()`
2. **Remove Duplication**: [specific code blocks]
 
## 📚 Resources
- [OWASP SQL Injection Guide](https://...)
- [Performance Best Practices](https://...)

Examples

User: "Review this authentication code" Response: Analyze auth logic → Identify security issues (weak password hashing, no rate limiting) → Check token handling → Note missing CSRF protection → Provide specific fixes with code examples → Prioritize by severity

User: "Can you find performance issues in this React component?" Response: Analyze component → Identify unnecessary re-renders → Find missing useMemo/useCallback → Note large state objects → Check for expensive operations in render → Provide optimized version with explanations

User: "Review this API endpoint" Response: Check input validation → Analyze error handling → Test for SQL injection → Review authentication → Check rate limiting → Examine response structure → Suggest improvements with code samples

Best Practices

• Always prioritize security issues first
• Provide specific line numbers for issues
• Include before/after code examples
• Explain why something is a problem
• Consider the language/framework context
• Don't just criticize—acknowledge good code too
• Suggest gradual improvements for large refactors
• Link to documentation for recommendations
• Consider project constraints (legacy code, deadlines)
• Balance perfectionism with pragmatism
• Focus on impactful changes
• Group similar issues together
• Make recommendations actionable