Can this skill help reduce memory usage and GC pressure?

Yes, it includes detailed techniques for memory representation, compacting structs, field reordering, and reducing allocation/copying frequency to minimize memory footprints.

Which programming languages does this skill support?

It provides specialized guidance for C++, Rust, and TypeScript, covering both language-agnostic principles and platform-specific optimizations like V8-specific tips for JavaScript.

How does this skill help with performance bottlenecks?

It implements a 'Measure First' workflow, providing decision trees to identify if a bottleneck is algorithmic, memory-bound, or execution-related before suggesting targeted fixes.

Does it include hardware-level performance data?

Yes, it provides a comprehensive latency reference table for L1/L2 cache access, branch mispredicts, disk seeks, and network round trips to help calibrate your expectations.

Performance Optimization

Name: Performance Optimization
Author: timbrinded

bytimbrinded

0•

Developer Tools

Optimizes code for speed, memory efficiency, and reduced latency across C++, Rust, and TypeScript using industry-standard engineering principles.

This skill provides language-agnostic guidance for performance engineering, distilled from proven patterns like Google's Abseil wisdom. It helps developers move beyond marginal micro-optimizations to address the 'critical 3%' of code through a rigorous workflow of measurement, bottleneck identification, and targeted optimization techniques. Whether you are dealing with high memory usage, GC pressure, or slow execution paths, this skill offers specific strategies for algorithmic improvement, memory layout optimization, and reducing unnecessary resource allocations in modern high-performance environments.

Key Features

01Guidance on memory layout, compact structs, and reducing allocation pressure.

020 GitHub stars

03Hardware and network latency reference guides for back-of-envelope estimation.

04Language-specific optimization strategies for C++, Rust, and TypeScript.

05Structured four-step optimization workflow: Measure, Identify, Optimize, and Verify.

06Decision trees for identifying algorithmic, memory, and execution-level bottlenecks.

Use Cases

01Reducing latency and improving throughput in high-traffic backend services and APIs.

02Optimizing critical hot paths in Rust or C++ systems for maximum instruction-level efficiency.

03Profiling and fixing high memory usage or GC pressure in TypeScript/V8 applications.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add timbrinded/kiln performance

For use in Claude.ai and ChatGPT

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