performance-oracle

Analyze code for performance bottlenecks, algorithmic complexity, and database query efficiency.

49|4|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/gvkhosla/compound-engineering-pi --skill performance-oracle-gvkhosla
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-oracle
Source: https://github.com/gvkhosla/compound-engineering-pi/tree/main/skills/performance-oracle
Command: npx skills add https://github.com/gvkhosla/compound-engineering-pi --skill performance-oracle-gvkhosla

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies and resolves performance bottlenecks in code, ensuring applications are efficient, scalable, and responsive.

Core Features & Use Cases

  • Algorithmic Complexity Analysis: Detects inefficient algorithms (e.g., O(n²)).
  • Database Optimization: Flags N+1 queries and suggests indexing strategies.
  • Memory Management: Identifies potential memory leaks and bloat.
  • Scalability Assessment: Projects performance under increased load.
  • Use Case: After implementing a new data processing feature, use this Skill to ensure it scales efficiently and doesn't introduce performance regressions.

Quick Start

Analyze the attached code for performance bottlenecks and scalability issues.

Frequently Asked Questions about performance-oracle

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

FAQPage Schema
How do I find performance bottlenecks in my code?

To find performance bottlenecks, the code is systematically evaluated against optimization best practices to detect inefficient algorithms, slow API responses, and resource-intensive operations.

What causes N+1 queries and how can I optimize database query efficiency?

Database optimization flags N+1 queries and evaluates query efficiency, suggesting indexing strategies to resolve slow database interactions and resource-intensive data processing.

Can I assess system scalability and project performance under increased load?

System scalability is assessed by analyzing algorithmic complexity and memory usage, projecting performance under increased load to ensure the application scales efficiently without regressions.

How do I detect memory leaks and potential memory bloat in my application?

Memory management identifies potential memory leaks and bloat by evaluating code for resource-intensive operations and inefficient data processing that consume excessive memory.