jikime-workflow-performance

Automate code performance optimization workflows across frontend, backend, database, and algorithm layers.

5|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/jikime/jikime-adk --skill jikime-workflow-performance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jikime-workflow-performance
Source: https://github.com/jikime/jikime-adk/tree/main/templates/.claude/skills/jikime-workflow-performance
Command: npx skills add https://github.com/jikime/jikime-adk --skill jikime-workflow-performance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses slow application performance by systematically identifying, analyzing, and resolving bottlenecks across frontend, backend, database, and algorithm layers.

Core Features & Use Cases

  • Comprehensive Profiling: Captures baseline performance metrics for various application layers.
  • Bottleneck Identification: Pinpoints performance issues using diagnostic tools and a priority matrix.
  • Targeted Optimization: Applies specific patterns for frontend, backend, and algorithm improvements.
  • Validation & Prevention: Ensures improvements are measurable and implements strategies to prevent regressions.
  • Use Case: A web application is experiencing slow load times and unresponsive user interactions. This Skill can be used to profile the frontend and backend, identify that inefficient database queries are the primary bottleneck, and then guide the optimization of those queries and the addition of appropriate caching.

Quick Start

Run the performance optimization workflow to measure and improve application speed.

Frequently Asked Questions about jikime-workflow-performance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify and resolve performance bottlenecks across frontend and backend layers?

To resolve performance bottlenecks, you need systematic profiling across frontend, backend, database, and algorithm layers. This workflow uses diagnostic tools and a priority matrix to pinpoint issues, then applies targeted optimization patterns to improve application speed and efficiency.

What is the best way to profile web vitals and latency issues in a slow application?

Profiling web vitals and latency requires capturing baseline performance metrics for various application layers. This workflow automates comprehensive profiling to measure unresponsive interactions and slow load times, establishing a baseline for optimization.

How do I prevent performance regressions after optimizing database queries and adding caching?

Preventing performance regressions requires validation against established performance targets. This workflow ensures improvements are measurable and implements specific regression prevention strategies after optimizing database queries and applying caching patterns.

Can I use this performance optimization workflow for both frontend and algorithm improvements?

Yes, this performance optimization workflow applies targeted optimization patterns across frontend, backend, database, and algorithm layers. It handles comprehensive profiling and bottleneck identification for developers seeking to improve application speed at any layer.

Does web vitals profiling require specific diagnostic tools or dependencies?

No specific dependencies are required to start web vitals profiling. This workflow uses internal diagnostic tools and a priority matrix to identify performance issues, making it accessible for developers without external package prerequisites.