Results for “purification”

Clean and transform messy data for analysis in Python, R, or Stata

Archives phase directories from completed milestones into versioned archive folders, showing a dry-run summary and moving directories only after confirmation.

Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns. Use when the user requests refactoring or provides relevant inputs for this workflow.

Refactor changed code to reduce duplication, complexity, and wasted work. Use for diffs, commit ranges, PRs, paths, staged changes, or working-tree changes.