Can I use this for testing my robotics simulations?

Yes, it includes built-in commands for running unit tests and full validation suites to ensure your simulation code builds and runs correctly.

Is this skill specific to C++ development?

Yes, because DART is a C++20 physics engine, this skill is optimized for C++ build pipelines and related Python binding configurations.

Does it help with CMake configuration?

Absolutely. It automates CMake configuration and provides specific guidance on resolving common linking errors and build failures.

How does this skill handle dependencies?

It utilizes Pixi for package management, allowing Claude to identify, install, and troubleshoot dependencies defined in pixi.toml.

What is the primary purpose of the dart-build skill?

It provides specialized knowledge for managing the build environment, dependencies, and compilation process of the DART physics engine.

DART Build System

Name: DART Build System
Author: dartsim

bydartsim

•

1,047

Deployment & DevOps

Streamlines the configuration, building, and testing of the Dynamic Animation and Robotics Toolkit using CMake and Pixi.

About

The dart-build skill provides deep integration with DART's build system, enabling Claude to efficiently manage C++ development workflows for robotics and animation. It automates common tasks such as CMake configuration, dependency management via Pixi, and comprehensive testing suites. By utilizing this skill, developers can quickly troubleshoot linking errors, resolve missing dependencies in pixi.toml, and maintain code quality through standardized linting and validation commands within the DART repository.

Key Features

1,047 GitHub stars
Code quality enforcement via linting and formatting
Troubleshooting guidance for common build and linking errors
Integrated dependency resolution with Pixi package manager
Automated CMake configuration and build management
Standardized testing and full validation command execution

Use Cases

Debugging complex CMake linking or dependency issues during development
Setting up a new DART development environment from scratch
Running automated test suites and validation before submitting code changes

About

Key Features

1,047 GitHub stars
Code quality enforcement via linting and formatting
Troubleshooting guidance for common build and linking errors
Integrated dependency resolution with Pixi package manager
Automated CMake configuration and build management
Standardized testing and full validation command execution

Use Cases

Debugging complex CMake linking or dependency issues during development
Setting up a new DART development environment from scratch
Running automated test suites and validation before submitting code changes