capture-environment

To capture your computational environment for reproducible research, this Skill automatically detects your R, Stata, or Python stack and generates lockfiles like renv.lock, requirements.txt, and environment.yml to snapshot software and package versions.

The best way to generate a Dockerfile and lockfiles for a replication package is using automated environment snapshotting, which records package versions, seeds, and RNG kind to ensure byte-reproducible computational environments.

Yes, environment snapshotting works with R, Python, and Stata projects by detecting the associated computational stack and tools, then generating the appropriate lockfiles such as renv.lock or uv.lock for each detected language.

You record seeds and RNG kind for random results reproducibility by running an environment capture process that automatically logs these random number generation parameters alongside your package versions in the project snapshot.

You need to create lockfiles for computational environments before releasing a replication package, ensuring that others can replicate your analysis results by restoring the exact software versions and configurations used during your research.

A limitation of automated environment detection is that it requires finding R, Stata, or Python stacks and associated tools within the project directory, meaning projects using unsupported languages or tools may not be fully captured for reproducibility.