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performance

Scan multi-stack code for performance anti-patterns and bottlenecks.

54|3|Updated Feb 4, 2026
Search Tags:#performance#optimization#profiling#bottlenecks#memory leaks#n-plus-one
One-click install
npx skills add https://github.com/arcasilesgroup/ai-engineering --skill performance-arcasilesgroup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance
Source: https://github.com/arcasilesgroup/ai-engineering/tree/main/.agents/skills/performance
Command: npx skills add https://github.com/arcasilesgroup/ai-engineering --skill performance-arcasilesgroup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies and helps fix performance bottlenecks in your code, such as N+1 queries, inefficient algorithms, memory leaks, and slow I/O operations, ensuring your applications run smoothly and efficiently.

Core Features & Use Cases

  • Multi-stack Performance Scanning: Detects common performance anti-patterns across Python, .NET, TypeScript/React, Rust, and SQL.
  • Static Analysis & Heuristics: Uses both deterministic tooling and intelligent code pattern detection to find issues.
  • Use Case: Before deploying a new feature, run this Skill to proactively identify and resolve potential performance regressions that could impact user experience or system stability.

Quick Start

Run a performance audit on the current project to identify any bottlenecks.

Frequently Asked Questions about performance

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

FAQPage Schema
How do I detect N+1 queries and memory leaks across multiple programming stacks?▼

Detect N+1 queries and memory leaks by running a multi-stack performance scan that applies static analysis and heuristics across Python, .NET, TypeScript/React, Rust, and SQL to pinpoint bottlenecks.

What is the best way to find O(n^2) algorithmic patterns and I/O bottlenecks before deployment?▼

Identify O(n^2) patterns and I/O bottlenecks by executing a pre-deployment performance audit that uses heuristic code pattern detection to generate scoring, findings, and hot spots for targeted remediation.

Can I scan a TypeScript and React project for bundle size issues using static analysis?▼

Scan TypeScript and React projects for bundle size issues using the multi-stack static analysis capabilities, which detect performance anti-patterns and provide actionable findings for targeted remediation.

Does multi-stack performance scanning work with both Python and .NET codebases?▼

Multi-stack performance scanning works with Python and .NET codebases, detecting common performance anti-patterns like slow I/O operations and inefficient algorithms using deterministic tooling and heuristics.

How do I run a performance audit to identify hot spots for targeted remediation?▼

Run a performance audit on your current project to identify bottlenecks; the scan analyzes code across supported stacks and provides scoring, findings, and hot spots for targeted remediation.

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