When should I use this skill instead of a default build?

You should use this skill when preparing for performance benchmarks, final validation tests, or any scenario where maximum simulation speed is required.

How is this different from a standard debug build?

Release builds include high-level optimizations (like -O3) and lack debug symbols, making the resulting binary significantly faster but harder to troubleshoot with a debugger.

Does this skill support parallel compilation?

Yes, it is configured to use parallel jobs via make -j4 to significantly reduce the time required to compile the simulator.

What does the Release Build skill do?

It automates the configuration and compilation of the YARS project using optimized compiler settings to maximize simulation performance.

Release Build Optimizer

Name: Release Build Optimizer
Author: kzahedi

bykzahedi

•

デプロイメントとDevOps

Configures and compiles the YARS robot simulator with high-performance optimizations for benchmarking and production use.

概要

This skill automates the configuration and compilation of the YARS (Yet Another Robot Simulator) project into a high-performance release mode. By leveraging CMake to apply maximum compiler optimizations and stripping unnecessary debug symbols, it ensures the simulation environment runs at peak velocity. It is specifically designed for researchers and developers who need to conduct performance testing, final validation, or large-scale robotic simulations where execution speed is the primary requirement.

主な機能

Automated CMake configuration for Release build types
Compiler optimizations for maximum execution speed
Seamless integration with performance benchmarking workflows
Debug symbol stripping for minimal binary footprint
3 GitHub stars
Parallelized compilation using multi-core processing

ユースケース

Preparing YARS simulations for performance benchmarking
Optimizing simulation speed for large-scale robotic experiments
Generating production-ready binaries for final validation

概要

主な機能

Automated CMake configuration for Release build types
Compiler optimizations for maximum execution speed
Seamless integration with performance benchmarking workflows
Debug symbol stripping for minimal binary footprint
3 GitHub stars
Parallelized compilation using multi-core processing

ユースケース

Preparing YARS simulations for performance benchmarking
Optimizing simulation speed for large-scale robotic experiments
Generating production-ready binaries for final validation