Cleans CSV, TSV, and Excel files by normalizing headers and removing duplicates.
npx skills add https://github.com/dathere/qsv --skill data-clean-dathere
Please help me install this Agent Skill. Skill: data-clean Source: https://github.com/dathere/qsv/tree/main/.claude/skills/skills/data-clean Command: npx skills add https://github.com/dathere/qsv --skill data-clean-dathere
Clean the given tabular data file by fixing common data quality issues such as inconsistent headers, extraneous whitespace, missing or misformatted values, and duplicates.
Provide the path to a tabular data file (CSV, TSV, or Excel) and run data-clean to produce a cleaned, deduplicated dataset.
High-intent search queries and answers about installing and using this skill.
To clean CSV data, use this Skill to normalize headers to safe ASCII identifiers, trim whitespace, and remove duplicate rows, producing a dataset ready for analysis. It handles inconsistent column names and duplicate records automatically during preprocessing.
Standardizing Excel column names involves normalizing headers to safe, ASCII-only identifiers and trimming whitespace. This Skill processes Excel workbooks to fix header inconsistencies and standardize field lengths, yielding a cleaned dataset for downstream reporting.
Yes, schema validation is supported during preprocessing. This Skill validates tabular data against an optional schema while simultaneously cleaning headers, trimming whitespace, and removing duplicates, outputting a fully validated and cleaned dataset.
Data-clean works with CSV, TSV, and Excel workbook formats. It cleans and normalizes tabular data across all three file types by fixing headers, normalizing row lengths, and removing duplicates to produce analysis-ready datasets.
Misaligned CSV rows often stem from inconsistent field lengths or extraneous whitespace. This Skill normalizes row lengths and trims whitespace during data cleaning, fixing structural misalignment and producing a properly formatted dataset.
PatrickjoshanedezCreate, edit, and analyze .xlsx, .csv, and .tsv spreadsheet files.
profmikegreeneProfile and analyze datasets to surface data quality issues and insights.
labs21-devProfile datasets to reveal structure, data quality, and relationships.
RishabhupadhyaTransform and normalize tabular data across spreadsheet formats into clean workbooks.
