Imported from majiayu000/claude-skill-registry-data (development/systematic-code-review/SKILL.md). Install upstream with npx skills add majiayu000/claude-skill-registry-data --skill systematic-code-review. Copyright stays with the author.

Systematic Code Review

Purpose

Deep code reviews that protect architecture, catch correctness issues, and provide mentoring-quality feedback using Conventional Comments.

Review Workflow

Follow this order—don't jump to nits.

1. Understand Context

• What problem is this solving?
• Is there a linked ticket/design doc?

2. Scan High Level

• Files/directories touched
• New public APIs or endpoints
• New dependencies
• Migrations and data changes
• Size check: 200-400 lines optimal, >1000 recommend splitting

3. Evaluate Correctness

• Does it solve the described problem?
• Edge cases and error conditions handled?
• Assumptions explicit?

4. Evaluate Design

• Aligns with existing architecture?
• New pattern where existing one would work?
• Local change or architecture decision in disguise?

Pattern Recognition:

Always name patterns explicitly.

5. Evaluate Tests

• Tests for critical paths and edge cases?
• Tests read like specifications?
• Stable, isolated, fast?

Red Flags:

• Testing private methods instead of behavior
• Heavy mocking of own components (indicates mixed concerns—see writing-code skill)
• Tests slower than necessary

6. Evaluate Security

• User input crossing trust boundaries?
• Authorization and privacy concerns?
• Secrets handling?

7. Evaluate Operability

• Logging, metrics, traces where needed?
• Clear error messages?
• Impact on alerts and SLOs?

8. Evaluate Maintainability

• Can a mid-level engineer understand this?
• Coupling and cohesion appropriate?
• Naming, structure, comments carry weight?

9. Provide Feedback

• Use Conventional Comments syntax
• Classify blocking vs non-blocking
• Explain why each point matters
• End with clear status: approve / approve with nits / request changes

Conventional Comments

<label> [decorations]: <subject>
[discussion]

Labels

Decorations

• (blocking) - Must resolve before merge
• (non-blocking) - Helpful but not required
• (security), (performance), (tests), (readability) - Categories

Examples

[src/validation.ts:34]
**praise**: Clean extraction of validation logic improves readability.

[api/users.py:127]
**issue (blocking, security)**: SQL injection via string interpolation.
Use parameterized queries.

[handlers/payment.js:89-105]
**suggestion (non-blocking, readability)**: Nested conditionals hard to scan.
Consider early returns to flatten.

[core/processor.go:234]
**question**: Is this on the hot path? If so, consider allocation cost in loop.

Principle-Based Review

When reviewing, apply CLAUDE.md principles. Attribute by name for shared vocabulary:

**issue (blocking, design)**: This mutates shared state. Following Rich Hickey's
immutability principle, return new value from pure function instead.

**suggestion (non-blocking)**: Following Ousterhout's principle, pull this
complexity into the implementation. Simplify the interface.

SOLID Quick Check

Change Size Guidelines

Key Takeaways

1. Follow 9-step workflow - Don't skip to nits
2. Include at least one praise - Builds trust
3. Use Conventional Comments - Make intent explicit
4. Name patterns explicitly - "Replace Conditional with Polymorphism" not "consider polymorphism"
5. Attribute principles - Creates shared vocabulary
6. 200-400 lines optimal - Larger PRs need splitting
7. Explain why - Not just what's wrong