Convert data files between formats using DuckDB COPY statements.
npx skills add https://github.com/nq-rdl/agent-extensions --skill convert-file
Please help me install this Agent Skill. Skill: convert-file Source: https://github.com/nq-rdl/agent-extensions/tree/main/skills/duckdb/convert-file Command: npx skills add https://github.com/nq-rdl/agent-extensions --skill convert-file
Convert data files between formats to enable interoperability and reduce manual reformatting across data pipelines.
Provide an input file path and an optional output path to automatically convert the file to the inferred or specified format.
High-intent search queries and answers about installing and using this skill.
To convert a CSV file to Parquet or JSON, you provide an input file path and an optional output path, and DuckDB's SQL engine handles the format conversion automatically using format-aware COPY statements based on the destination file extension.
You can convert remote data files directly without downloading them first. The conversion process supports both local and remote inputs, applying DuckDB format-aware COPY statements to read and export datasets across formats like CSV, Parquet, JSON, and Excel.
The best way to convert Excel files to CSV is using DuckDB's SQL engine, which infers the output format from the destination file extension and handles the export seamlessly to reduce manual reformatting across data pipelines.
Yes, DuckDB supports GeoJSON conversion alongside CSV, Parquet, JSON, and Excel formats. It requires appropriate DuckDB extensions to be enabled, allowing you to import, transform, and export datasets across these common formats.
Converting data files to Parquet format for analytics workflows enables interoperability and reduces manual reformatting. Parquet is optimized for analytical queries, making it ideal for exporting transformed datasets for sharing, archival, or downstream analysis.
nq-rdlInstall or update DuckDB extensions and the CLI in automation pipelines.
starlake-aiConvert Parquet files into CSV format for batch ETL pipelines.
crossxwillQuery Parquet data with DuckDB and convert results to pandas DataFrames.
ckrono-progConvert, merge, split, and compress files across multiple formats.
