Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install mastra-ai-mastra-templates-template-github-review-agent-workspace-skills-performagit clone https://github.com/mastra-ai/mastra.gitcp mastra/SKILL.MD ~/.claude/skills/mastra-ai-mastra-templates-template-github-review-agent-workspace-skills-performa/SKILL.md---
name: performance-review
description: Performance-focused code review for identifying bottlenecks and optimization opportunities
version: 1.0.0
metadata:
tags:
- code-review
- performance
---
# Performance Review
When reviewing code for performance issues, check each category below. Reference the detailed checklist in `references/performance-checklist.md`.
## Database & Queries
- N+1 query patterns (queries inside loops)
- Missing database indexes for frequently queried fields
- Unbounded queries without LIMIT/pagination
- SELECT \* instead of selecting only needed columns
- Missing connection pooling
## Memory & Resources
- Memory leaks: event listeners not removed, intervals not cleared, growing caches without bounds
- Large objects held in memory unnecessarily
- Unbounded arrays or maps that grow with usage
- Missing cleanup in component unmount/destroy lifecycle
## Rendering (Frontend)
- Unnecessary re-renders (missing React.memo, useMemo, useCallback where appropriate)
- Large component trees re-rendering for small state changes
- Missing virtualization for long lists
- Synchronous heavy computation blocking the main thread
- Large bundle sizes from unnecessary imports
## API & Network
- Missing caching for frequently accessed, rarely changing data
- Sequential API calls that could be parallelized
- Missing pagination for large data sets
- Over-fetching data (requesting more than needed)
- Missing request deduplication
## Algorithmic Complexity
- O(n²) or worse operations on potentially large datasets
- Repeated computation that could be memoized
- String concatenation in loops (use array join or template literals)
- Unnecessary sorting or filtering passes
## Severity Levels
- 🔴 **CRITICAL**: Will cause performance degradation under normal load
- 🟠 **HIGH**: Will cause issues at scale
- 🟡 **MEDIUM**: Optimization opportunity with measurable impact
- 🔵 **LOW**: Minor optimization suggestion