Does it work with different programming languages?

Yes, it supports multiple environments including Python (py-spy), Node.js, Go (pprof), and standard web technologies (Lighthouse/Chrome DevTools).

Will optimizing my code break existing functionality?

No. The skill follows a strict TDD (Test-Driven Development) approach, requiring all existing functional tests to pass and creating new performance tests to verify improvements without regressions.

How does this skill identify performance bottlenecks?

It utilizes industry-standard profiling tools such as Lighthouse for frontend, py-spy and cProfile for backend, and EXPLAIN ANALYZE for database queries to capture and quantify performance data.

What kind of results should I expect?

The skill focuses on high-ROI optimizations like database indexing, algorithm refactoring, and code splitting, typically resulting in significant reductions in latency and resource consumption.

Can I limit optimization to specific parts of my application?

Yes, you can use the --scope flag to target specific areas such as 'backend', 'frontend', or 'full' to ensure the AI focuses on your highest priority systems.

Performance Optimizer

Name: Performance Optimizer
Author: MountainUnicorn

byMountainUnicorn

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分析与监控

Identifies and resolves performance bottlenecks across backend, frontend, and database layers using test-driven optimization.

The Performance Optimizer skill is a specialized component of the Agent Driven Development (ADD) framework that systematically improves application speed while maintaining code correctness. It automates the profiling process—utilizing tools like py-spy, Lighthouse, and SQL EXPLAIN—to pinpoint high-latency operations, memory leaks, and inefficient algorithms. By adhering to a strict 'test-first' performance discipline, the skill establishes baseline metrics, implements targeted fixes such as database indexing or code splitting, and verifies improvements through automated assertions, providing a clear ROI report for every optimization effort.

主要功能

01Automated multi-layer profiling for backend, frontend, and database systems

029 GitHub stars

03ROI-based bottleneck prioritization to focus on the highest-impact fixes first

04Automatic generation of performance documentation and optimization history

05Detailed performance reporting with 'before and after' metric comparisons

06Test-driven performance discipline to ensure speed gains don't break functionality

使用场景

01Optimizing Core Web Vitals and frontend bundle sizes for better user experience

02Reducing API response times and database query latency in high-traffic services

03Identifying and refactoring inefficient algorithms into optimized, scalable implementations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mountainunicorn/add optimize

For use in Claude.ai and ChatGPT