m10-performance

Profile and optimize Rust code using flamegraph, criterion, and rayon.

287|18|Updated Feb 14, 2026

Search Tags:#performance #optimization #benchmarking #profiling #rust #code #parallelism

Ready to run

npx skills add https://github.com/fjrevoredo/mini-diarium --skill m10-performance-fjrevoredo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: m10-performance
Source: https://github.com/fjrevoredo/mini-diarium/tree/main/.agents/skills/m10-performance
Command: npx skills add https://github.com/fjrevoredo/mini-diarium --skill m10-performance-fjrevoredo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps software engineers identify and implement performance improvements in their code and systems.

Core Features & Use Cases

Performance Analysis: Guides users on profiling, benchmarking, and identifying bottlenecks in their applications.
Optimization Techniques: Offers strategies for reducing allocations, improving cache efficiency, and parallelizing tasks.
Use Case: A developer notices slow response times in their app; they use this Skill to profile the application, locate hotspots, and apply targeted optimizations for faster execution.

Quick Start

Ask the AI for tips on profiling your Rust application to find performance bottlenecks.

Frequently Asked Questions about m10-performance

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

FAQPage Schema

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

Benchmarking in Rust is best done using criterion to measure code speed and execution times reliably. This Skill helps you establish performance baselines and identify areas needing optimization through precise, measurable benchmark data.

What's the best way to improve code speed through parallelism in Rust?▼

Performance optimization techniques include reducing memory allocations, improving cache efficiency, and parallelizing tasks. This Skill provides strategies to implement these code-level improvements, ensuring faster execution and better resource utilization.

Why does my app have slow response times and how can profiling help?▼

Slow response times often stem from hidden code hotspots, which profiling helps by identifying exact bottlenecks. This Skill guides you to profile your application, locate the problematic areas, and apply targeted optimizations for faster execution.

Can I use flamegraph and criterion together for Rust performance analysis?▼

Yes, you can use flamegraph and criterion together for comprehensive Rust performance analysis. This Skill ensures compatibility with these tools, combining benchmarking measurements with visual profiling to locate and fix hotspots.