From performance-optimization-advisor
Delivers prioritized performance optimization recommendations for frontend, backend, and infrastructure, with impact estimates and phased implementation roadmaps. Use for analyzing bottlenecks or improving speed.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin performance-optimization-advisorThis skill is limited to using the following tools:
Deliver prioritized performance optimization recommendations across frontend, backend, and infrastructure layers with impact estimates and phased implementation roadmaps.
Diagnoses and fixes performance bottlenecks across frontend, backend, and infrastructure: Core Web Vitals, bundle optimization, database queries, caching, and monitoring. Useful for slow loads, poor Lighthouse scores.
Performs static code analysis for performance bottlenecks, optimization opportunities, scalability issues, including N+1 queries, memory leaks, caching, and Core Web Vitals. Generates prioritized report with code fixes.
Analyzes performance bottlenecks in web pages, APIs, builds and delivers prioritized fixes with baselines from Lighthouse, Chrome DevTools, cProfile, py-spy, clinic.js, EXPLAIN ANALYZE.
Share bugs, ideas, or general feedback.
Deliver prioritized performance optimization recommendations across frontend, backend, and infrastructure layers with impact estimates and phased implementation roadmaps.
This skill empowers Claude to act as a performance optimization advisor, delivering a detailed report of potential improvements across various layers of a software application. It prioritizes recommendations based on impact and effort, allowing for a focused and efficient optimization strategy.
This skill activates when you need to:
User request: "My website is loading very slowly. Can you help me optimize its performance?"
The skill will:
User request: "The API response time is too slow. What can I do to improve it?"
The skill will:
This skill integrates well with other plugins that provide code analysis, infrastructure management, and deployment automation capabilities. For example, it can be used in conjunction with a code linting plugin to identify code-level performance issues or with an infrastructure-as-code plugin to automate infrastructure optimization tasks.
If optimization analysis fails: