Merge tabular data files into a single analysis-ready dataframe.
npx skills add https://github.com/bcmcpher/my-skills --skill merge-data
Please help me install this Agent Skill. Skill: merge-data Source: https://github.com/bcmcpher/my-skills/tree/main/plugins/stat-analysis/skills/merge-data Command: npx skills add https://github.com/bcmcpher/my-skills --skill merge-data
Helps users merge and harmonize a folder of tabular data files into a single analysis-ready dataframe without modifying the source files.
Provide the path to a folder of tabular files when prompted and run the generated script to merge all recognized files.
High-intent search queries and answers about installing and using this skill.
To merge multiple CSV and Excel files into a single dataset, you provide a folder path to the Skill. It automatically discovers supported tabular files, profiles them, and generates a runnable script that consolidates the data into one analysis-ready dataframe.
Consolidating mixed tabular data formats like Parquet, TSV, and JSON is handled through automatic file discovery and schema alignment. The Skill inspects each file, aligns the schemas, and outputs a runnable script to harmonize the diverse formats into a unified dataframe.
Merging tabular data files does not modify the original source exports. The Skill enforces a strict read-only constraint on your source data, ensuring all profiling, schema alignment, and consolidation happen without altering the initial files.
To generate a data dictionary and perform validation when combining datasets, the Skill profiles each file and applies optional data-quality checks. The final runnable script includes commands to validate the merged dataframe and optionally output a data dictionary.
You can use this approach to combine a folder of tabular exports for Python analysis. The Skill generates a ready-to-run Python script that handles file discovery, merging, and validation, producing an analysis-ready dataframe immediately available for your projects.
Limitations when profiling and harmonizing a folder of tabular data files include relying on supported formats like CSV, TSV, Excel, JSON, and Parquet. The Skill handles schema alignment and optional quality checks but requires all target files to be accessible within the specified folder path.
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