domains / families / research / reproducible-pipelines

reproducible-pipelines

separate

This skill covers reproducible research pipelines and replication packages. Use when the user is setting up a research project directory structure, configuring workflow managers (Make, Snakemake, DVC), managing computational environments, preparing replication packages for journal submission, or debugging reproducibility failures. Triggers on "reproducible", "replication package", "Makefile", "Snakemake", "DVC", "pipeline", "workflow manager", "data versioning", "conda environment", "Docker", "seed management", "AEA data editor", "replication", "project structure", or "submission checklist".

When to use

• Setting up a new empirical research project
• Building or debugging a Makefile/Snakemake/DVC pipeline
• Preparing a replication package for journal submission
• Managing computational environments (conda, Docker, renv)
• Tracking data provenance or versioning large datasets
• Debugging "works on my machine" reproducibility failures
• The task is about estimation methodology (use `causal-inference` or `structural-modeling` skill)
• The task is git workflow management (see `workflows-work/references/worktree-patterns.md`)

When not to use

• estimation methodology
• git workflow management
• orchestrating Claude agents

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