Skill

reviewing-performance

From pda

Analyzes code for performance issues including algorithmic complexity, N+1 queries, memory leaks, missing caching, blocking operations, and inefficient data structures. Use when performing a performance review, perf review, or as part of code-review.

Install

npx claudepluginhub spaghetti-lover/pda-plugins --plugin pda

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Analyze code for performance issues and optimization opportunities.

SKILL.md

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Last CommitApr 13, 2026

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Performance Review

Analyze code for performance issues and optimization opportunities.

Scope

Specific files/paths if given

git diff for PR/branch

Staged/unstaged changes if no scope specified

Checklist

Algorithmic complexity — O(n²) or worse, unnecessary sorting, redundant computation in loops, missing early exits

Database & I/O — N+1 queries, missing indexes, over-fetching (SELECT *), unbounded queries (missing LIMIT), sequential I/O that could be parallel

Memory — leaks (event listeners, growing caches), unnecessary allocations in hot loops, large object copies, unbounded collections

Caching — missing memoization for repeated pure calls, cache invalidation issues, missing HTTP cache headers

Concurrency — blocking main thread, sequential awaits that could be parallel, thread pool exhaustion, missing connection pooling

Frontend (if applicable) — unnecessary re-renders, large bundle size, layout thrashing, missing virtualization

Classification

Per finding: Impact (HIGH/MEDIUM/LOW), Confidence (HIGH/MEDIUM/LOW), Category (COMPLEXITY/DATABASE/MEMORY/CACHING/CONCURRENCY/FRONTEND).

Output format

### [IMPACT] Title - **File**: `path:line` - **Category**: CATEGORY - **Confidence**: HIGH/MEDIUM/LOW - **Description**: issue and performance impact - **Current code**: snippet - **Estimated impact**: latency/throughput/memory effect - **Recommendation**: optimized approach

Summary

End with impact counts table and assessment: FAST (no issues), NEEDS_OPTIMIZATION (has high-impact items), ACCEPTABLE (only low/medium items).

Performance Review

Analyze code for performance issues and optimization opportunities.

Scope

Specific files/paths if given
git diff for PR/branch
Staged/unstaged changes if no scope specified

Checklist

Algorithmic complexity — O(n²) or worse, unnecessary sorting, redundant computation in loops, missing early exits
Database & I/O — N+1 queries, missing indexes, over-fetching (SELECT *), unbounded queries (missing LIMIT), sequential I/O that could be parallel
Memory — leaks (event listeners, growing caches), unnecessary allocations in hot loops, large object copies, unbounded collections
Caching — missing memoization for repeated pure calls, cache invalidation issues, missing HTTP cache headers
Concurrency — blocking main thread, sequential awaits that could be parallel, thread pool exhaustion, missing connection pooling
Frontend (if applicable) — unnecessary re-renders, large bundle size, layout thrashing, missing virtualization

Classification

Per finding: Impact (HIGH/MEDIUM/LOW), Confidence (HIGH/MEDIUM/LOW), Category (COMPLEXITY/DATABASE/MEMORY/CACHING/CONCURRENCY/FRONTEND).

Output format

### [IMPACT] Title
- **File**: `path:line`
- **Category**: CATEGORY
- **Confidence**: HIGH/MEDIUM/LOW
- **Description**: issue and performance impact
- **Current code**: snippet
- **Estimated impact**: latency/throughput/memory effect
- **Recommendation**: optimized approach

Summary

End with impact counts table and assessment: FAST (no issues), NEEDS_OPTIMIZATION (has high-impact items), ACCEPTABLE (only low/medium items).