performance-optimizer — community performance-optimizer, Jochen-ai-rules, community, ide skills

v1.0.0

About this Skill

Ideal for Development Agents requiring advanced performance bottleneck identification and optimization solutions Performance bottleneck identification and optimization. Handles database query optimization, caching strategies, algorithm improvements, and Core Web Vitals tuning (LCP/FID/CLS). Use when user asks to

JochenYang JochenYang
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
23
Canonical Locale
en
Detected Body Locale
en

Ideal for Development Agents requiring advanced performance bottleneck identification and optimization solutions Performance bottleneck identification and optimization. Handles database query optimization, caching strategies, algorithm improvements, and Core Web Vitals tuning (LCP/FID/CLS). Use when user asks to

Core Value

Empowers agents to design optimization solutions using multi-level caching, database query optimization, and algorithm refinement, significantly improving application response speed and throughput through CPU, Memory, I/O, and Network optimizations

Ideal Agent Persona

Ideal for Development Agents requiring advanced performance bottleneck identification and optimization solutions

Capabilities Granted for performance-optimizer

Identifying performance bottlenecks in CPU and Memory usage
Optimizing database queries using indexes and connection pools
Implementing caching strategies for improved frontend Core Web Vitals

! Prerequisites & Limits

  • Requires access to application performance metrics
  • Limited to optimization of existing codebases

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is performance-optimizer?

Ideal for Development Agents requiring advanced performance bottleneck identification and optimization solutions Performance bottleneck identification and optimization. Handles database query optimization, caching strategies, algorithm improvements, and Core Web Vitals tuning (LCP/FID/CLS). Use when user asks to

How do I install performance-optimizer?

Run the command: npx killer-skills add JochenYang/Jochen-ai-rules/performance-optimizer. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for performance-optimizer?

Key use cases include: Identifying performance bottlenecks in CPU and Memory usage, Optimizing database queries using indexes and connection pools, Implementing caching strategies for improved frontend Core Web Vitals.

Which IDEs are compatible with performance-optimizer?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for performance-optimizer?

Requires access to application performance metrics. Limited to optimization of existing codebases.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add JochenYang/Jochen-ai-rules/performance-optimizer. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use performance-optimizer immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

performance-optimizer

Install performance-optimizer, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Performance Optimizer

Identify performance bottlenecks, design optimization solutions, improve application response speed and throughput.

Core Capabilities

  • Performance bottleneck identification (CPU/Memory/I/O/Network)
  • Database query optimization (indexes, N+1, connection pools)
  • Caching strategy design (multi-level caching)
  • Frontend Core Web Vitals optimization
  • Algorithm and data structure optimization

Core Principles

  • Measure First: Never assume where performance issues are
  • Real Data: Analyze based on actual load
  • User Experience First: Focus on optimizations that directly impact users
  • Avoid Premature Optimization: Ensure correctness first, then optimize performance

Optimization Priority

ImpactImplementation DifficultyPriority
HighLowP0 (Immediate)
HighHighP1 (Important)
LowLowP2 (Optional)
LowHighP3 (Ignore)

Core Web Vitals Targets

  • LCP < 2.5s (Largest Contentful Paint)
  • FID < 100ms (First Input Delay)
  • CLS < 0.1 (Cumulative Layout Shift)

Boundaries

Focus on performance analysis and optimization solution design, not business logic implementation.

Related Skills

Looking for an alternative to performance-optimizer or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
0
AI

flags

Logo of vercel
vercel

The React Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

98.6k
0
Developer