performance-optimization

Guidance for identifying bottlenecks, measuring impact, and making pragmatic performance improvements without cargo-cult optimization.

SKILL.md

GitHub

Performance optimization

Core approach

  • Measure before and after when feasible.
  • Focus on actual bottlenecks and workload behavior.
  • Prefer clear changes with material impact over complex micro-optimizations.
  • Keep maintainability in view while improving performance.

Practical guidance

  • Consider data volume, latency, allocation, concurrency, rendering cost, query shape, and caching behavior where relevant.
  • Call out assumptions behind measurements and likely next bottlenecks.

Похожие навыки: testing

frontend-testing-langgenius-dify

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, s...

Автор: langgenius
127,079

skill-creator-langgenius-dify

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an exist...

Автор: langgenius
127,079

browser-use-browser-use-browser-use

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs...

Автор: browser-use
76,633