ASD

Code Review Excellence

Domina prácticas efectivas de revisión de código para dar feedback constructivo, detectar bugs a tiempo y fomentar el intercambio de conocimiento sin dañar la moral del equipo.

Estrellas
38.8k

en todo el repo

Actividad
34

0–100, la ruta de este skill

Actualizado
hace 5 meses

último commit aquí

Commits
0

últimos 90 días

Contexto
3.3k tok

60 tok en reposo

Paquete
1 archivo

13 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add wshobson/agents --skill code-review-excellence --agent claude-code

Se instala solo en este repositorio.

Qué hace

  • Aporta un proceso estructurado de revisión en cuatro fases: contexto, revisión general, línea por línea y resumen/decisión
  • Da plantillas de feedback constructivo, checklists de seguridad/rendimiento/testing y etiquetas de severidad
  • Incluye patrones específicos de revisión para Python y TypeScript/JavaScript
  • Ofrece plantillas de comentarios de PR y guías para manejar desacuerdos con el autor

Úsalo cuando

  • Revisar pull requests y cambios de código
  • Establecer estándares de revisión de código para equipos
  • Mentorizar a desarrolladores junior mediante revisiones
  • Crear checklists y guías de revisión

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Revisa este pull request y dame feedback constructivo
    • Crea un checklist de seguridad para nuestras revisiones de código
    • Ayúdame a redactar un comentario de PR sobre este bug de concurrencia
    • Establece estándares de code review para el equipo

    SKILL.md

    En inglés

    Code Review Excellence

    Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement.

    When to Use This Skill

    • Reviewing pull requests and code changes
    • Establishing code review standards for teams
    • Mentoring junior developers through reviews
    • Conducting architecture reviews
    • Creating review checklists and guidelines
    • Improving team collaboration
    • Reducing code review cycle time
    • Maintaining code quality standards

    Core Principles

    1. The Review Mindset

    Goals of Code Review:

    • Catch bugs and edge cases
    • Ensure code maintainability
    • Share knowledge across team
    • Enforce coding standards
    • Improve design and architecture
    • Build team culture

    Not the Goals:

    • Show off knowledge
    • Nitpick formatting (use linters)
    • Block progress unnecessarily
    • Rewrite to your preference

    2. Effective Feedback

    Good Feedback is:

    • Specific and actionable
    • Educational, not judgmental
    • Focused on the code, not the person
    • Balanced (praise good work too)
    • Prioritized (critical vs nice-to-have)
    ❌ Bad: "This is wrong."
    ✅ Good: "This could cause a race condition when multiple users
    access simultaneously. Consider using a mutex here."
    
    ❌ Bad: "Why didn't you use X pattern?"
    ✅ Good: "Have you considered the Repository pattern? It would
    make this easier to test. Here's an example: [link]"
    
    ❌ Bad: "Rename this variable."
    ✅ Good: "[nit] Consider `userCount` instead of `uc` for
    clarity. Not blocking if you prefer to keep it."
    

    3. Review Scope

    What to Review:

    • Logic correctness and edge cases
    • Security vulnerabilities
    • Performance implications
    • Test coverage and quality
    • Error handling
    • Documentation and comments
    • API design and naming
    • Architectural fit

    What Not to Review Manually:

    • Code formatting (use Prettier, Black, etc.)
    • Import organization
    • Linting violations
    • Simple typos

    Review Process

    Phase 1: Context Gathering (2-3 minutes)

    Before diving into code, understand:
    
    1. Read PR description and linked issue
    2. Check PR size (>400 lines? Ask to split)
    3. Review CI/CD status (tests passing?)
    4. Understand the business requirement
    5. Note any relevant architectural decisions
    

    Phase 2: High-Level Review (5-10 minutes)

    1. **Architecture & Design**
       - Does the solution fit the problem?
       - Are there simpler approaches?
       - Is it consistent with existing patterns?
       - Will it scale?
    
    2. **File Organization**
       - Are new files in the right places?
       - Is code grouped logically?
       - Are there duplicate files?
    
    3. **Testing Strategy**
       - Are there tests?
       - Do tests cover edge cases?
       - Are tests readable?
    

    Phase 3: Line-by-Line Review (10-20 minutes)

    For each file:
    
    1. **Logic & Correctness**
       - Edge cases handled?
       - Off-by-one errors?
       - Null/undefined checks?
       - Race conditions?
    
    2. **Security**
       - Input validation?
       - SQL injection risks?
       - XSS vulnerabilities?
       - Sensitive data exposure?
    
    3. **Performance**
       - N+1 queries?
       - Unnecessary loops?
       - Memory leaks?
       - Blocking operations?
    
    4. **Maintainability**
       - Clear variable names?
       - Functions doing one thing?
       - Complex code commented?
       - Magic numbers extracted?
    

    Phase 4: Summary & Decision (2-3 minutes)

    1. Summarize key concerns
    2. Highlight what you liked
    3. Make clear decision:
       - ✅ Approve
       - 💬 Comment (minor suggestions)
       - 🔄 Request Changes (must address)
    4. Offer to pair if complex
    

    Review Techniques

    Technique 1: The Checklist Method

    ## Security Checklist
    
    - [ ] User input validated and sanitized
    - [ ] SQL queries use parameterization
    - [ ] Authentication/authorization checked
    - [ ] Secrets not hardcoded
    - [ ] Error messages don't leak info
    
    ## Performance Checklist
    
    - [ ] No N+1 queries
    - [ ] Database queries indexed
    - [ ] Large lists paginated
    - [ ] Expensive operations cached
    - [ ] No blocking I/O in hot paths
    
    ## Testing Checklist
    
    - [ ] Happy path tested
    - [ ] Edge cases covered
    - [ ] Error cases tested
    - [ ] Test names are descriptive
    - [ ] Tests are deterministic
    

    Technique 2: The Question Approach

    Instead of stating problems, ask questions to encourage thinking:

    ❌ "This will fail if the list is empty."
    ✅ "What happens if `items` is an empty array?"
    
    ❌ "You need error handling here."
    ✅ "How should this behave if the API call fails?"
    
    ❌ "This is inefficient."
    ✅ "I see this loops through all users. Have we considered
    the performance impact with 100k users?"
    

    Technique 3: Suggest, Don't Command

    ## Use Collaborative Language
    
    ❌ "You must change this to use async/await"
    ✅ "Suggestion: async/await might make this more readable:
    `typescript
        async function fetchUser(id: string) {
            const user = await db.query('SELECT * FROM users WHERE id = ?', id);
            return user;
        }
        `
    What do you think?"
    
    ❌ "Extract this into a function"
    ✅ "This logic appears in 3 places. Would it make sense to
    extract it into a shared utility function?"
    

    Technique 4: Differentiate Severity

    Use labels to indicate priority:
    
    🔴 [blocking] - Must fix before merge
    🟡 [important] - Should fix, discuss if disagree
    🟢 [nit] - Nice to have, not blocking
    💡 [suggestion] - Alternative approach to consider
    📚 [learning] - Educational comment, no action needed
    🎉 [praise] - Good work, keep it up!
    
    Example:
    "🔴 [blocking] This SQL query is vulnerable to injection.
    Please use parameterized queries."
    
    "🟢 [nit] Consider renaming `data` to `userData` for clarity."
    
    "🎉 [praise] Excellent test coverage! This will catch edge cases."
    

    Language-Specific Patterns

    Python Code Review

    # Check for Python-specific issues
    
    # ❌ Mutable default arguments
    def add_item(item, items=[]):  # Bug! Shared across calls
        items.append(item)
        return items
    
    # ✅ Use None as default
    def add_item(item, items=None):
        if items is None:
            items = []
        items.append(item)
        return items
    
    # ❌ Catching too broad
    try:
        result = risky_operation()
    except:  # Catches everything, even KeyboardInterrupt!
        pass
    
    # ✅ Catch specific exceptions
    try:
        result = risky_operation()
    except ValueError as e:
        logger.error(f"Invalid value: {e}")
        raise
    
    # ❌ Using mutable class attributes
    class User:
        permissions = []  # Shared across all instances!
    
    # ✅ Initialize in __init__
    class User:
        def __init__(self):
            self.permissions = []
    

    TypeScript/JavaScript Code Review

    // Check for TypeScript-specific issues
    
    // ❌ Using any defeats type safety
    function processData(data: any) {  // Avoid any
        return data.value;
    }
    
    // ✅ Use proper types
    interface DataPayload {
        value: string;
    }
    function processData(data: DataPayload) {
        return data.value;
    }
    
    // ❌ Not handling async errors
    async function fetchUser(id: string) {
        const response = await fetch(`/api/users/${id}`);
        return response.json();  // What if network fails?
    }
    
    // ✅ Handle errors properly
    async function fetchUser(id: string): Promise<User> {
        try {
            const response = await fetch(`/api/users/${id}`);
            if (!response.ok) {
                throw new Error(`HTTP ${response.status}`);
            }
            return await response.json();
        } catch (error) {
            console.error('Failed to fetch user:', error);
            throw error;
        }
    }
    
    // ❌ Mutation of props
    function UserProfile({ user }: Props) {
        user.lastViewed = new Date();  // Mutating prop!
        return <div>{user.name}</div>;
    }
    
    // ✅ Don't mutate props
    function UserProfile({ user, onView }: Props) {
        useEffect(() => {
            onView(user.id);  // Notify parent to update
        }, [user.id]);
        return <div>{user.name}</div>;
    }
    

    Advanced Review Patterns

    Pattern 1: Architectural Review

    When reviewing significant changes:
    
    1. **Design Document First**
       - For large features, request design doc before code
       - Review design with team before implementation
       - Agree on approach to avoid rework
    
    2. **Review in Stages**
       - First PR: Core abstractions and interfaces
       - Second PR: Implementation
       - Third PR: Integration and tests
       - Easier to review, faster to iterate
    
    3. **Consider Alternatives**
       - "Have we considered using [pattern/library]?"
       - "What's the tradeoff vs. the simpler approach?"
       - "How will this evolve as requirements change?"
    

    Pattern 2: Test Quality Review

    // ❌ Poor test: Implementation detail testing
    test('increments counter variable', () => {
        const component = render(<Counter />);
        const button = component.getByRole('button');
        fireEvent.click(button);
        expect(component.state.counter).toBe(1);  // Testing internal state
    });
    
    // ✅ Good test: Behavior testing
    test('displays incremented count when clicked', () => {
        render(<Counter />);
        const button = screen.getByRole('button', { name: /increment/i });
        fireEvent.click(button);
        expect(screen.getByText('Count: 1')).toBeInTheDocument();
    });
    
    // Review questions for tests:
    // - Do tests describe behavior, not implementation?
    // - Are test names clear and descriptive?
    // - Do tests cover edge cases?
    // - Are tests independent (no shared state)?
    // - Can tests run in any order?
    

    Pattern 3: Security Review

    ## Security Review Checklist
    
    ### Authentication & Authorization
    
    - [ ] Is authentication required where needed?
    - [ ] Are authorization checks before every action?
    - [ ] Is JWT validation proper (signature, expiry)?
    - [ ] Are API keys/secrets properly secured?
    
    ### Input Validation
    
    - [ ] All user inputs validated?
    - [ ] File uploads restricted (size, type)?
    - [ ] SQL queries parameterized?
    - [ ] XSS protection (escape output)?
    
    ### Data Protection
    
    - [ ] Passwords hashed (bcrypt/argon2)?
    - [ ] Sensitive data encrypted at rest?
    - [ ] HTTPS enforced for sensitive data?
    - [ ] PII handled according to regulations?
    
    ### Common Vulnerabilities
    
    - [ ] No eval() or similar dynamic execution?
    - [ ] No hardcoded secrets?
    - [ ] CSRF protection for state-changing operations?
    - [ ] Rate limiting on public endpoints?
    

    Giving Difficult Feedback

    Pattern: The Sandwich Method (Modified)

    Traditional: Praise + Criticism + Praise (feels fake)
    
    Better: Context + Specific Issue + Helpful Solution
    
    Example:
    "I noticed the payment processing logic is inline in the
    controller. This makes it harder to test and reuse.
    
    [Specific Issue]
    The calculateTotal() function mixes tax calculation,
    discount logic, and database queries, making it difficult
    to unit test and reason about.
    
    [Helpful Solution]
    Could we extract this into a PaymentService class? That
    would make it testable and reusable. I can pair with you
    on this if helpful."
    

    Handling Disagreements

    When author disagrees with your feedback:
    
    1. **Seek to Understand**
       "Help me understand your approach. What led you to
       choose this pattern?"
    
    2. **Acknowledge Valid Points**
       "That's a good point about X. I hadn't considered that."
    
    3. **Provide Data**
       "I'm concerned about performance. Can we add a benchmark
       to validate the approach?"
    
    4. **Escalate if Needed**
       "Let's get [architect/senior dev] to weigh in on this."
    
    5. **Know When to Let Go**
       If it's working and not a critical issue, approve it.
       Perfection is the enemy of progress.
    

    Best Practices

    1. Review Promptly: Within 24 hours, ideally same day
    2. Limit PR Size: 200-400 lines max for effective review
    3. Review in Time Blocks: 60 minutes max, take breaks
    4. Use Review Tools: GitHub, GitLab, or dedicated tools
    5. Automate What You Can: Linters, formatters, security scans
    6. Build Rapport: Emoji, praise, and empathy matter
    7. Be Available: Offer to pair on complex issues
    8. Learn from Others: Review others' review comments

    Common Pitfalls

    • Perfectionism: Blocking PRs for minor style preferences
    • Scope Creep: "While you're at it, can you also..."
    • Inconsistency: Different standards for different people
    • Delayed Reviews: Letting PRs sit for days
    • Ghosting: Requesting changes then disappearing
    • Rubber Stamping: Approving without actually reviewing
    • Bike Shedding: Debating trivial details extensively

    Templates

    PR Review Comment Template

    ## Summary
    
    [Brief overview of what was reviewed]
    
    ## Strengths
    
    - [What was done well]
    - [Good patterns or approaches]
    
    ## Required Changes
    
    🔴 [Blocking issue 1]
    🔴 [Blocking issue 2]
    
    ## Suggestions
    
    💡 [Improvement 1]
    💡 [Improvement 2]
    
    ## Questions
    
    ❓ [Clarification needed on X]
    ❓ [Alternative approach consideration]
    
    ## Verdict
    
    ✅ Approve after addressing required changes
    

    Reproducido de wshobson/agents bajo licencia MIT. Leer esta página en markdown.

    Archivos

    1 archivo en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Detalles

    Creador
    wshobson
    Categoría
    Testing y QA
    Licencia
    MIT
    Recursos incluidos
    Solo SKILL.md
    Repositorio
    wshobson/agents
    Código fuente
    Ver SKILL.md

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