Read CSV, JSON, and Parquet files from local paths or S3 and GCS.
npx skills add https://github.com/duckdb/duckdb-skills --skill read-file-duckdb
Please help me install this Agent Skill. Skill: read-file Source: https://github.com/duckdb/duckdb-skills/tree/main/skills/read-file Command: npx skills add https://github.com/duckdb/duckdb-skills --skill read-file-duckdb
This Skill resolves the challenge of quickly and easily reading various types of data files (CSV, JSON, Parquet, etc.) into a usable format for analysis and further processing.
Use the read-file skill to explore a Parquet file named 'sales_data.parquet'.
High-intent search queries and answers about installing and using this skill.
You can read and analyze local data files like CSV, JSON, and Parquet using automated format detection. It automatically identifies the file type based on the extension and previews the schema for immediate analysis.
Yes, you can read data files directly from remote cloud storage like S3, GCS, or Azure. It accesses remote URLs to query datasets and retrieve schema information without requiring local downloads.
The best way to preview a dataset schema before ETL operations is using automated data discovery. It detects file formats automatically and provides immediate schema and data analysis capabilities to facilitate downstream processing.
Yes, DuckDB supports analyzing spatial files and Excel documents alongside Avro and Parquet. It utilizes native file I/O mechanisms to provide comprehensive data exploration and schema analysis for these varied formats.
For data exploration of files with unknown formats, the system uses automated data discovery based on file extensions. It detects the format, reads the data using native I/O, and suggests next steps for analysis without manual configuration.
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