performance

Name: performance
Availability: InStock
Author: palucdev

Identify and resolve performance bottlenecks in application code via static analysis.

3|Updated May 9, 2026

Search Tags:#workflow automation #performance optimization #code optimization #application performance #static code analysis

Ready to run

npx skills add https://github.com/palucdev/owflow --skill performance-palucdev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance
Source: https://github.com/palucdev/owflow/tree/main/src/skills/performance
Command: npx skills add https://github.com/palucdev/owflow --skill performance-palucdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies and resolves performance bottlenecks in application code, improving response times and efficiency.

Core Features & Use Cases

Static Code Analysis: Identifies performance issues like N+1 queries, missing indexes, and inefficient algorithms.
Workflow Automation: Guides users through standard phases of specification, planning, implementation, and verification.
User Data Integration: Accepts optional profiling data for more accurate analysis.
Use Case: Use the performance skill to analyze and optimize the database queries in your application, improving its overall performance.

Quick Start

Use the performance skill to analyze performance bottlenecks in your application code.

Frequently Asked Questions about performance

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

FAQPage Schema

How do I identify performance bottlenecks in my application code?▼

To identify performance bottlenecks in application code, you can use static code analysis to detect issues like N+1 queries, missing indexes, and inefficient algorithms, optionally integrating user-provided profiling data for more accurate results.

How does static code analysis find N+1 queries and missing database indexes?▼

Static code analysis finds N+1 queries and missing database indexes by scanning the application code structure without executing it, automatically identifying inefficient algorithms and database query patterns to resolve performance bottlenecks.

Can I use profiling data to improve the accuracy of code optimization?▼

Yes, you can integrate optional user-provided profiling data into the performance optimization workflow, which allows the static code analysis to deliver more accurate and targeted bottleneck resolution.

What is the best way to automate the performance optimization workflow?▼

The best way to automate performance optimization is using a guided workflow that standardizes the specification, planning, implementation, and verification phases to systematically resolve application code bottlenecks.

How do I optimize database queries to improve application performance?▼

To optimize database queries and improve application performance, you can apply static code analysis to detect and resolve N+1 queries and missing indexes, following an automated workflow from specification to verification.