sandbox:language-environment-config

To detect project languages and configure a sandbox environment, run the included Python scripts to scan config files like Cargo.toml, pyproject.toml, and package.json. This generates tailored environment setup guidance for Rust, Python, and Node.js.

Yes, you can automatically set up Node.js, Python, and Rust in Docker sandboxes. The Skill extracts language versions from config files and provides end-to-end environment setup guidance including LSP servers and shell tooling for sandbox containers.

You extract language versions from config files by running the parse_versions.py script. It reads common configuration files such as rust-toolchain.toml, pyproject.toml, and .nvmrc to determine exact versions for CI pipeline provisioning.

Yes, language detection works with both config files and source files. The Skill scans standard project configuration files alongside source code to accurately identify the programming languages and determine their required versions.

Yes, you need Python and the tomli dependency installed to run the language detection scripts. The Skill relies on Python scripts and the tomli library to parse configuration files and extract the necessary language environment details.

The best way to provision LSP servers and CLI tools in a development sandbox is using the generated environment setup guidance. After detecting languages and versions, the Skill provides instructions for installing language servers and shell tooling.