Generate a data dictionary, description, and semantic tags for CSV, TSV, and Excel files.
npx skills add https://github.com/dathere/qsv --skill data-describe
Please help me install this Agent Skill. Skill: data-describe Source: https://github.com/dathere/qsv/tree/main/.claude/skills/skills/data-describe Command: npx skills add https://github.com/dathere/qsv --skill data-describe
Generating a clear, maintainable data dictionary and dataset description for tabular data is often manual, time-consuming, and error-prone.
Provide a path to a tabular data file (CSV/TSV/Excel) to generate the dictionary, description, and tags.
High-intent search queries and answers about installing and using this skill.
To generate a data dictionary for a CSV file, use this Skill to compute per-column metadata via describegpt, producing a Markdown report with column names, types, and descriptions.
Yes, you can create a dataset description from an Excel file by providing the file path. The Skill analyzes the tabular data and generates a natural-language description to aid data catalogs.
The best way to add semantic tags is to process tabular data files through this Skill, which outputs tags designed to improve searchability and data discovery within analytics workflows.
Yes, this data documentation tool supports TSV files, alongside CSV and Excel formats, indexing the provided tabular file for fast access before computing the metadata.
The generated data dictionary is output in Markdown format by default, detailing column names, types, and descriptions to create clear, maintainable data documentation.
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