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performance-optimization

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About performance-optimization

P

performance-optimization

Optimizes application performance across frontend, backend, queries

performance-optimization is an agent skill from Addy Osmani's agent-skills collection for improving application performance across the frontend, the backend, queries and databases. Its core rule is to measure before optimizing. Performance work without measurement is guessing, and guessing leads to premature optimization that adds complexity without improving what matters. The workflow is to profile first, identify the actual bottleneck, fix it, and measure again, optimizing only what the measurements prove matters. The skill applies when the spec has performance requirements such as load-time budgets or response-time SLAs, when users or monitoring report slow behavior, when Core Web Vitals scores fall below their thresholds, when a change is suspected of causing a regression, and when building features that handle large datasets or high traffic. It says not to optimize without evidence of a problem, since premature optimization costs more in complexity than it gains in speed.

View performance-optimizationAll AI Skills apps
Price
Free
Made by
addyosmani
Category
AI Skills
Website
github.com/addyosmani/agent-skills/performance-optimization