Which programming languages are supported?

The skill provides specialized checklists for Python, JavaScript, TypeScript, Go, and Rust, and also includes a universal checklist for all other programming languages.

Can it detect database-specific performance issues?

Yes, it specifically looks for common database anti-patterns such as N+1 queries, unbatched inserts, and holding connections open during long-running I/O operations.

How does the skill know which files to review?

It uses Git commands like 'git diff HEAD~1' or 'git diff main' to identify recently modified files, ensuring the review focuses on your current changes.

Does this skill work with frontend frameworks like React?

Yes, it includes checks for React-specific issues such as unnecessary re-renders, missing memoization with useMemo/useCallback, and lack of virtualization for large lists.

When should I use the performance review skill?

It is best used after writing or modifying significant logic-heavy code. It is typically skipped for simple documentation, configuration, or trivial CSS edits.

Performance Reviewer

Name: Performance Reviewer
Author: rasha-hantash

byrasha-hantash

0•

开发者工具

Analyzes code changes for performance bottlenecks, scalability issues, and language-specific anti-patterns to ensure optimal execution.

The Performance Reviewer skill is a specialized diagnostic tool for Claude Code designed to catch efficiency regressions before they reach production. It automatically detects your project's technology stack—including Python, JavaScript/TypeScript, Go, and Rust—and applies tailored checklists to identify issues like N+1 queries, unnecessary React re-renders, goroutine leaks, and memory management errors. By integrating directly with your Git workflow, it provides a categorized report of Critical, Warning, and Suggestion items, helping developers maintain high-speed, scalable applications without manual profiling overhead.

主要功能

01Git-integrated diff analysis for targeted performance auditing

02Severity-graded reporting with specific file and line number references

03Universal optimization checks for O(n^2) complexity and resource leaks

04Language-specific checks for N+1 queries, memory leaks, and concurrency issues

050 GitHub stars

06Automatic stack detection for Python, JS/TS, Go, Rust, .NET, and Java

使用场景

01Post-implementation performance audit for complex logic or data processing

02Refactoring legacy codebases to improve resource utilization and response times

03Pre-pull request sanity checks to identify potential scalability regressions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rasha-hantash/dotfiles perf-review

For use in Claude.ai and ChatGPT