csv-column-renamer

To rename CSV column headers without altering row data, provide the target CSV path and exact old-to-new header mappings. The Skill validates that the old headers exist, preserves column order and cell values, then applies changes in place or outputs a new file with a diff.

Standardizing CSV header names across files requires applying exact old-to-new column mappings to a target CSV. This process validates header presence, preserves row order and cell values, and generates a diff alongside the final renamed output path for easy tracking.

Yes, you can modify the original CSV file in place or specify an output path for a new file. Both options enforce that old header names exist in the current header row before applying changes, preserving column order and leaving row data untouched.

If an old column name does not exist in the CSV header row, the renaming process enforces header presence validation and will not apply the changes. This ensures only valid, existing headers are mapped to new names while preserving row data and column order.

Yes, you can rename multiple CSV headers simultaneously by providing several old-to-new mappings. The tool applies them deterministically while preserving column order, then outputs a diff of all header-level changes along with the final output path.

Renaming CSV headers without affecting column order is achieved by validating old header names and applying exact mappings. The process focuses strictly on header-level changes, preserving the original column sequence and all row data while generating a diff of the renamed output.