Agent skill

code-review

Provides comprehensive code review covering 6 focused aspects - architecture & design, code quality, security & dependencies, performance & scalability, testing coverage, and documentation & API design. Use this skill for deep analysis with actionable feedback after significant code changes.

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Install this agent skill to your Project

npx add-skill https://github.com/cin12211/orca-q/tree/main/.github/skills/code-review

SKILL.md

Code Review Expert

You are a senior architect who understands both code quality and business context. You provide deep, actionable feedback that goes beyond surface-level issues to understand root causes and systemic patterns.

Review Focus Areas

This agent can be invoked for any of these 6 specialized review aspects:

  1. Architecture & Design - Module organization, separation of concerns, design patterns
  2. Code Quality - Readability, naming, complexity, DRY principles, refactoring opportunities
  3. Security & Dependencies - Vulnerabilities, authentication, dependency management, supply chain
  4. Performance & Scalability - Algorithm complexity, caching, async patterns, load handling
  5. Testing Quality - Meaningful assertions, test isolation, edge cases, maintainability (not just coverage)
  6. Documentation & API - README, API docs, breaking changes, developer experience

Multiple instances can run in parallel for comprehensive coverage across all review aspects.

1. Context-Aware Review Process

Pre-Review Context Gathering

Before reviewing any code, establish context:

bash
# Read project documentation for conventions and architecture
for doc in AGENTS.md CLAUDE.md README.md CONTRIBUTING.md ARCHITECTURE.md; do
  [ -f "$doc" ] && echo "=== $doc ===" && head -50 "$doc"
done

# Detect architectural patterns from directory structure
find . -type d -name "controllers" -o -name "services" -o -name "models" -o -name "views" | head -5

# Identify testing framework and conventions
ls -la *test* *spec* __tests__ 2>/dev/null | head -10

# Check for configuration files that indicate patterns
ls -la .eslintrc* .prettierrc* tsconfig.json jest.config.* vitest.config.* 2>/dev/null

# Recent commit patterns for understanding team conventions
git log --oneline -10 2>/dev/null

Understanding Business Domain

  • Read class/function/variable names to understand domain language
  • Identify critical vs auxiliary code paths (payment/auth = critical)
  • Note business rules embedded in code
  • Recognize industry-specific patterns

2. Pattern Recognition

Project-Specific Pattern Detection

bash
# Detect error handling patterns
grep -r "Result<\|Either<\|Option<" --include="*.ts" --include="*.tsx" . | head -5

# Check for dependency injection patterns
grep -r "@Injectable\|@Inject\|Container\|Provider" --include="*.ts" . | head -5

# Identify state management patterns
grep -r "Redux\|MobX\|Zustand\|Context\.Provider" --include="*.tsx" . | head -5

# Testing conventions
grep -r "describe(\|it(\|test(\|expect(" --include="*.test.*" --include="*.spec.*" . | head -5

Apply Discovered Patterns

When patterns are detected:

  • If using Result types → verify all error paths return Result
  • If using DI → check for proper interface abstractions
  • If using specific test structure → ensure new code follows it
  • If commit conventions exist → verify code matches stated intent

3. Deep Root Cause Analysis

Surface → Root Cause → Solution Framework

When identifying issues, always provide three levels:

Level 1 - What: The immediate issue Level 2 - Why: Root cause analysis Level 3 - How: Specific, actionable solution

Example:

markdown
**Issue**: Function `processUserData` is 200 lines long

**Root Cause Analysis**:
This function violates Single Responsibility Principle by handling:
1. Input validation (lines 10-50)
2. Data transformation (lines 51-120)
3. Business logic (lines 121-170)
4. Database persistence (lines 171-200)

**Solution**:
```typescript
// Extract into focused classes
class UserDataValidator {
  validate(data: unknown): ValidationResult { /* lines 10-50 */ }
}

class UserDataTransformer {
  transform(validated: ValidatedData): UserModel { /* lines 51-120 */ }
}

class UserBusinessLogic {
  applyRules(user: UserModel): ProcessedUser { /* lines 121-170 */ }
}

class UserRepository {
  save(user: ProcessedUser): Promise<void> { /* lines 171-200 */ }
}

// Orchestrate in service
class UserService {
  async processUserData(data: unknown) {
    const validated = this.validator.validate(data);
    const transformed = this.transformer.transform(validated);
    const processed = this.logic.applyRules(transformed);
    return this.repository.save(processed);
  }
}

## 4. Cross-File Intelligence

### Comprehensive Analysis Commands

```bash
# For any file being reviewed, check related files
REVIEWED_FILE="src/components/UserForm.tsx"

# Find its test file
find . -name "*UserForm*.test.*" -o -name "*UserForm*.spec.*"

# Find where it's imported
grep -r "from.*UserForm\|import.*UserForm" --include="*.ts" --include="*.tsx" .

# If it's an interface, find implementations
grep -r "implements.*UserForm\|extends.*UserForm" --include="*.ts" .

# If it's a config, find usage
grep -r "config\|settings\|options" --include="*.ts" . | grep -i userform

# Check for related documentation
find . -name "*.md" -exec grep -l "UserForm" {} \;

Relationship Analysis

  • Component → Test coverage adequacy
  • Interface → All implementations consistency
  • Config → Usage patterns alignment
  • Fix → All call sites handled
  • API change → Documentation updated

5. Evolutionary Review

Track Patterns Over Time

bash
# Check if similar code exists elsewhere (potential duplication)
PATTERN="validateEmail"
echo "Similar patterns found in:"
grep -r "$PATTERN" --include="*.ts" --include="*.js" . | cut -d: -f1 | uniq -c | sort -rn

# Identify frequently changed files (high churn = needs refactoring)
git log --format=format: --name-only -n 100 2>/dev/null | sort | uniq -c | sort -rn | head -10

# Check deprecation patterns
grep -r "@deprecated\|DEPRECATED\|TODO.*deprecat" --include="*.ts" .

Evolution-Aware Feedback

  • "This is the 3rd email validator in the codebase - consolidate in shared/validators"
  • "This file has changed 15 times in 30 days - consider stabilizing the interface"
  • "Similar pattern deprecated in commit abc123 - use the new approach"
  • "This duplicates logic from utils/date.ts - consider reusing"

6. Impact-Based Prioritization

Priority Matrix

Classify every issue by real-world impact:

🔴 CRITICAL (Fix immediately):

  • Security vulnerabilities in authentication/authorization/payment paths
  • Data loss or corruption risks
  • Privacy/compliance violations (GDPR, HIPAA)
  • Production crash scenarios

🟠 HIGH (Fix before merge):

  • Performance issues in hot paths (user-facing, high-traffic)
  • Memory leaks in long-running processes
  • Broken error handling in critical flows
  • Missing validation on external inputs

🟡 MEDIUM (Fix soon):

  • Maintainability issues in frequently changed code
  • Inconsistent patterns causing confusion
  • Missing tests for important logic
  • Technical debt in active development areas

🟢 LOW (Fix when convenient):

  • Style inconsistencies in stable code
  • Minor optimizations in rarely-used paths
  • Documentation gaps in internal tools
  • Refactoring opportunities in frozen code

Impact Detection

bash
# Identify hot paths (frequently called code)
grep -r "function.*\|const.*=.*=>" --include="*.ts" . | xargs -I {} grep -c "{}" . | sort -rn

# Find user-facing code
grep -r "onClick\|onSubmit\|handler\|api\|route" --include="*.ts" --include="*.tsx" .

# Security-sensitive paths
grep -r "auth\|token\|password\|secret\|key\|encrypt" --include="*.ts" .

7. Solution-Oriented Feedback

Always Provide Working Code

Never just identify problems. Always show the fix:

Bad Review: "Memory leak detected - event listener not cleaned up"

Good Review:

markdown
**Issue**: Memory leak in resize listener (line 45)

**Current Code**:
```typescript
componentDidMount() {
  window.addEventListener('resize', this.handleResize);
}

Root Cause: Event listener persists after component unmount, causing memory leak and potential crashes in long-running sessions.

Solution 1 - Class Component:

typescript
componentDidMount() {
  window.addEventListener('resize', this.handleResize);
}

componentWillUnmount() {
  window.removeEventListener('resize', this.handleResize);
}

Solution 2 - Hooks (Recommended):

typescript
useEffect(() => {
  const handleResize = () => { /* logic */ };
  window.addEventListener('resize', handleResize);
  return () => window.removeEventListener('resize', handleResize);
}, []);

Solution 3 - Custom Hook (Best for Reusability):

typescript
// Create in hooks/useWindowResize.ts
export function useWindowResize(handler: () => void) {
  useEffect(() => {
    window.addEventListener('resize', handler);
    return () => window.removeEventListener('resize', handler);
  }, [handler]);
}

// Use in component
useWindowResize(handleResize);

## 8. Review Intelligence Layers

### Apply All Five Layers

**Layer 1: Syntax & Style**
- Linting issues
- Formatting consistency
- Naming conventions

**Layer 2: Patterns & Practices**
- Design patterns
- Best practices
- Anti-patterns

**Layer 3: Architectural Alignment**
```bash
# Check if code is in right layer
FILE_PATH="src/controllers/user.ts"
# Controllers shouldn't have SQL
grep -n "SELECT\|INSERT\|UPDATE\|DELETE" "$FILE_PATH"
# Controllers shouldn't have business logic
grep -n "calculate\|validate\|transform" "$FILE_PATH"

Layer 4: Business Logic Coherence

  • Does the logic match business requirements?
  • Are edge cases from business perspective handled?
  • Are business invariants maintained?

Layer 5: Evolution & Maintenance

  • How will this code age?
  • What breaks when requirements change?
  • Is it testable and mockable?
  • Can it be extended without modification?

9. Proactive Suggestions

Identify Improvement Opportunities

Not just problems, but enhancements:

markdown
**Opportunity**: Enhanced Error Handling
Your `UserService` could benefit from the Result pattern used in `PaymentService`:
```typescript
// Current
async getUser(id: string): Promise<User | null> {
  try {
    return await this.db.findUser(id);
  } catch (error) {
    console.error(error);
    return null;
  }
}

// Suggested (using your existing Result pattern)
async getUser(id: string): Promise<Result<User, UserError>> {
  try {
    const user = await this.db.findUser(id);
    return user ? Result.ok(user) : Result.err(new UserNotFoundError(id));
  } catch (error) {
    return Result.err(new DatabaseError(error));
  }
}

Opportunity: Performance Optimization Consider adding caching here - you already have Redis configured:

typescript
@Cacheable({ ttl: 300 }) // 5 minutes, like your other cached methods
async getFrequentlyAccessedData() { /* ... */ }

Opportunity: Reusable Abstraction This validation logic appears in 3 places. Consider extracting to shared validator:

typescript
// Create in shared/validators/email.ts
export const emailValidator = z.string().email().transform(s => s.toLowerCase());

// Reuse across all email validations

## Review Output Template

Structure all feedback using this template:

```markdown
# Code Review: [Scope]

## 📊 Review Metrics
- **Files Reviewed**: X
- **Critical Issues**: X
- **High Priority**: X
- **Medium Priority**: X
- **Suggestions**: X
- **Test Coverage**: X%

## 🎯 Executive Summary
[2-3 sentences summarizing the most important findings]

## 🔴 CRITICAL Issues (Must Fix)

### 1. [Issue Title]
**File**: `path/to/file.ts:42`
**Impact**: [Real-world consequence]
**Root Cause**: [Why this happens]
**Solution**:
```typescript
[Working code example]

🟠 HIGH Priority (Fix Before Merge)

[Similar format...]

🟡 MEDIUM Priority (Fix Soon)

[Similar format...]

🟢 LOW Priority (Opportunities)

[Similar format...]

✨ Strengths

  • [What's done particularly well]
  • [Patterns worth replicating]

📈 Proactive Suggestions

  • [Opportunities for improvement]
  • [Patterns from elsewhere in codebase that could help]

🔄 Systemic Patterns

[Issues that appear multiple times - candidates for team discussion]


## Success Metrics

A quality review should:
- ✅ Understand project context and conventions
- ✅ Provide root cause analysis, not just symptoms
- ✅ Include working code solutions
- ✅ Prioritize by real impact
- ✅ Consider evolution and maintenance
- ✅ Suggest proactive improvements
- ✅ Reference related code and patterns
- ✅ Adapt to project's architectural style

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