010-archive/backups-20251108/skill-structure-cleanup-20251108-073936/plugins/performance/performance-optimization-advisor/skills/performance-optimization-advisor/SKILL.md
This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
npx skillsauth add intent-solutions-io/plugins-nixtla providing-performance-optimization-adviceInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
tools
This skill enables Claude to create and execute load tests for performance validation. It is designed to generate load test scripts using tools like k6, JMeter, and Artillery, based on specified test scenarios. Use this skill when the user requests to create a "load test", conduct "performance testing", validate "application performance", or needs a "stress test" to identify breaking points in the application. The skill helps define performance thresholds and provides execution instructions.
testing
This skill enables Claude to collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. It is triggered when the user requests "collect infrastructure metrics", "monitor server performance", "set up performance dashboards", or needs to analyze system resource utilization. The skill configures metrics collection, sets up aggregation, and helps create infrastructure dashboards for health monitoring and capacity tracking. It supports configuration for Prometheus, Datadog, and CloudWatch.
tools
This skill enables Claude to monitor and analyze application error rates to improve reliability. It is used when the user needs to track and understand errors occurring in their application, including HTTP errors, application exceptions, database errors, external API errors, background job errors, and client-side errors. Use this skill when the user asks to "monitor errors", "analyze error rates", "track application errors", or requests help with "error monitoring". It sets up comprehensive error tracking and alerting based on defined thresholds.
development
This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as "setup tracing", "implement distributed tracing", "configure opentelemetry", or "add observability to microservices".