Skillshub performance-reviewer

Performance Reviewer

install

source · Clone the upstream repo

git clone https://github.com/ComeOnOliver/skillshub

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/TerminalSkills/skills/performance-reviewer" ~/.claude/skills/comeonoliver-skillshub-performance-reviewer && rm -rf "$T"

manifest: skills/TerminalSkills/skills/performance-reviewer/SKILL.md

source content

Performance Reviewer

Overview

This skill analyzes code changes for performance regressions and optimization opportunities. It catches common issues like N+1 database queries, unnecessary re-renders in React components, missing database indexes, unoptimized loops, and bundle size increases before they reach production.

Instructions

Analyzing a Diff or PR

Get the diff:

git diff main...HEAD

git diff <base>...<head>

For each changed file, evaluate against these performance categories:

Database & Queries:

Look for queries inside loops (N+1 pattern)
Check for missing
```
WHERE
```
clauses or full table scans
Identify missing indexes on columns used in
```
WHERE
```
,
```
JOIN
```
, or
```
ORDER BY
```
Flag
```
SELECT *
```
when only specific columns are needed
Watch for unbounded queries without
```
LIMIT
```

Frontend & Rendering:

React: Check for missing
```
useMemo
```
/
```
useCallback
```
on expensive computations passed as props
Look for state updates that trigger unnecessary re-renders of large component trees
Flag inline object/array creation in render (creates new reference every render)
Check for large bundle imports (
```
import moment
```
→ suggest
```
dayjs
```
)

Algorithm & Data Structures:

Flag O(n²) or worse algorithms when O(n log n) alternatives exist
Look for repeated array searches that should use a Set or Map
Identify string concatenation in loops (suggest StringBuilder/join)

Memory & Resources:

Check for missing cleanup in
```
useEffect
```
(event listeners, intervals, subscriptions)
Look for growing arrays/objects that are never trimmed
Flag missing connection pool limits or unclosed file handles

Network & I/O:

Identify sequential API calls that could be parallelized (
```
Promise.all
```
)
Check for missing pagination on list endpoints
Flag missing caching for expensive or repeated operations

Output Format

For each issue found, report:

File and line number
Category (Database, Frontend, Algorithm, Memory, Network)
Severity (Critical, Warning, Info)
What's wrong (specific description)
Suggested fix (concrete code suggestion)

Severity Guidelines

Critical: Will cause visible degradation in production (N+1 in a loop, O(n²) on large datasets, memory leak)
Warning: May cause issues at scale (missing index, unnecessary re-renders, sequential API calls)
Info: Optimization opportunity, not urgent (bundle size suggestion, minor refactor)

Examples

Example 1: N+1 Query Detection

Input diff:

# api/views.py
def list_orders(request):
    orders = Order.objects.filter(user=request.user)
    result = []
    for order in orders:
        items = OrderItem.objects.filter(order=order)  # ← query per order
        result.append({
            "id": order.id,
            "total": order.total,
            "items": [{"name": i.product.name, "qty": i.quantity} for i in items]
        })
    return JsonResponse(result, safe=False)

Output:

🔴 Critical — Database N+1 Query
  File: api/views.py:5-8
  Issue: OrderItem query executes once per order, plus each i.product.name
         triggers another query. For 50 orders with 3 items each = 201 queries.
  Fix: Use select_related and prefetch_related:
    orders = Order.objects.filter(user=request.user).prefetch_related(
        Prefetch('items', queryset=OrderItem.objects.select_related('product'))
    )
  Result: Reduces to 3 queries regardless of order count.

Example 2: React Re-render Issue

Input diff:

function UserList({ users, onSelect }) {
  return (
    <div>
      {users.map(user => (
        <UserCard
          key={user.id}
          user={user}
          style={{ padding: 16, margin: 8 }}
          onClick={() => onSelect(user.id)}
        />
      ))}
    </div>
  );
}

Output:

🟡 Warning — Unnecessary Re-renders
  File: components/UserList.jsx:6-7
  Issue: Inline object `style={{ padding: 16, margin: 8 }}` and arrow function
         `() => onSelect(user.id)` create new references every render, causing
         all UserCard components to re-render even when users haven't changed.
  Fix:
    const cardStyle = useMemo(() => ({ padding: 16, margin: 8 }), []);
    const handleClick = useCallback((id) => onSelect(id), [onSelect]);
    // Then: style={cardStyle} onClick={() => handleClick(user.id)}
  Impact: With 100+ users, prevents ~100 unnecessary DOM diffing operations per parent render.

Guidelines

Focus on issues introduced by the diff, not pre-existing problems
Prioritize Critical issues — don't bury them in a list of Info suggestions
Always provide concrete fix suggestions, not just "optimize this"
Consider the scale: an O(n²) loop on a 5-element array is fine; on user-generated data it's not
When suggesting caching, specify what to cache and invalidation strategy
Don't flag micro-optimizations that harm readability for negligible gain