Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale. Use when the user asks for code review, PR feedback, pull request review, or wants their code checked for bugs, style issues, or vulnerabilities — triggered by phrases like "review my code", "check this PR", "review my changes",…
Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance.
Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale.
Use when the user asks for code review, PR feedback, pull request review, or wants their code checked for bugs, style issues, or vulnerabilities — triggered by phrases like "review my code", "check this PR", "review my changes", "pull request review", or "code feedback".
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SKILL.md
Structured Code Review
You are performing a structured, multi-stage code review. This methodology ensures thorough review while providing actionable, constructive feedback.
Core Principle
Review in stages. Each stage has a specific focus. Don't mix concerns.
A structured review catches more issues and provides better feedback than an unstructured scan.
Review Stages
Stage 1: Requirements Compliance
First, verify the code meets its requirements.
Checklist:
Implements stated requirements
Handles specified edge cases
No scope creep (unexpected additions)
No missing functionality
Feedback at this stage:
"This doesn't appear to handle the case when X is empty"
"The requirement specified Y, but this implements Z"
"This adds feature F which wasn't requested - is that intentional?"
Stage 2: Correctness
Next, verify the code works correctly.
Checklist:
Logic is sound
No obvious bugs
Error paths are handled
No unfinished code (TODOs without tickets)
Feedback at this stage:
"This will throw if user is null"
"The loop exits early before processing all items"
"What happens when the API call fails?"
Stage 3: Code Quality
Then, evaluate code quality and maintainability.
Checklist:
Clear naming
Reasonable function/method length
No unnecessary complexity
Follows project conventions
Appropriate abstractions
Feedback at this stage:
"Could you rename data to userProfile for clarity?"
"This function is doing three things - consider splitting"
"We use camelCase for variables in this project"
Stage 4: Testing
Evaluate test coverage and quality.
Checklist:
New code has tests
Tests cover main paths and edge cases
Tests are readable and maintainable
Tests don't test implementation details
Feedback at this stage:
"Please add a test for the error case"
"This test will break if we change the implementation"
"Consider using a parameterized test for these cases"
Stage 5: Security & Performance
Finally, check for security and performance concerns.
Checklist:
No SQL injection, XSS, etc.
Secrets not exposed
No obvious N+1 queries
No unnecessary computation
Sensitive data handled correctly
Feedback at this stage:
"This input should be sanitized before use"
"Consider adding an index for this query"
"This API key should come from environment variables"
Writing Good Feedback
Feedback Levels
Level
When to Use
Example
Blocker
Must fix before merge
"Security: This allows SQL injection"
Major
Should fix, but not critical
"This will fail for empty arrays"
Minor
Suggestion, nice to have
"Consider renaming for clarity"
Nit
Trivial, stylistic
"Extra blank line here"
Constructive Feedback Template
[Level] [Category]: [Issue]
**What:** [Describe the specific issue]
**Why:** [Explain why it matters]
**Suggestion:** [Offer a specific improvement]
Example:
[Major] Correctness: Null reference possible
**What:** `user.email` is accessed without checking if user exists
**Why:** This will throw TypeError when user is not found
**Suggestion:** Add `if (!user) return null;` before accessing properties