m10-performance

Profile code hotspots with flamegraphs and perf to reduce latency and memory use.

2|Updated Mar 8, 2026

Search Tags:#performance #optimization #profiling #rust #benchmark #parallelism

Ready to run

npx skills add https://github.com/mo4islona/sqd-query-engine --skill m10-performance-mo4islona

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: m10-performance
Source: https://github.com/mo4islona/sqd-query-engine/tree/main/.agents/skills/m10-performance
Command: npx skills add https://github.com/mo4islona/sqd-query-engine --skill m10-performance-mo4islona

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users identify and implement performance improvements in their workflows and code, reducing bottlenecks and enhancing efficiency.

Core Features & Use Cases

Performance Assessment: Guides users on measuring hotspots using profiling tools such as flamegraphs and perf.
Optimization Strategies: Recommends techniques like reducing allocations, improving cache usage, and parallelizing tasks to boost performance.
Use Case: A developer improves a Rust application’s speed by applying zero-copy and pre-allocation methods after profiling reveals memory bottlenecks.

Quick Start

Use the performance optimization skills to analyze the speed of your Rust application and apply recommended techniques for faster execution.

Frequently Asked Questions about m10-performance

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

FAQPage Schema

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

Identify performance bottlenecks using profiling tools like flamegraphs and perf to measure hotspots in your code. This process reveals exact locations of high CPU consumption and memory use, enabling targeted optimizations to reduce latency.

What is the best way to reduce memory allocations during code optimization?▼

Reduce memory allocations during code optimization by applying zero-copy and pre-allocation methods. This Skill recommends specific techniques to improve cache usage and minimize bottlenecks, resulting in faster and more efficient execution.

When do I need to use profiling tools for performance assessment?▼

Use profiling tools for performance assessment when experiencing slow execution or high resource consumption. This Skill guides you in measuring hotspots with flamegraphs and perf to identify specific code areas requiring optimization.

How do I use parallelism to boost my application's performance?▼

Use parallelism to boost application performance by parallelizing tasks to reduce latency. This Skill provides optimization strategies for improving execution speed through technical best practices and parallel task distribution.

Can I apply these performance optimization techniques to workflows outside of Rust?▼

These performance optimization techniques target developers and engineers seeking to reduce latency, memory use, and CPU consumption. While use cases highlight Rust, the profiling and optimization strategies apply to general code and workflows.

What are the limitations of relying on code profiling for workflow optimization?▼

Relying on profiling for workflow optimization requires identifying bottlenecks before applying techniques like reducing allocations or improving cache usage. This Skill focuses on technical best practices but does not list specific environmental limitations.