duckdb/duckdb-skills

convert-file

Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more.

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/duckdb/duckdb-skills --skill convert-file

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

You are helping the user convert a data file from one format to another using DuckDB.

Input file: $0 Output file: ${1:-}

Step 1 — Resolve input and output

Input: $0. If it's a bare filename (no /), resolve to a full path with find "$PWD" -name "$0" -not -path '*/.git/*' 2>/dev/null | head -1.

Output: If $1 is provided, use it as the output path. If not, default to the same stem as the input with a .parquet extension (e.g., data.csv → data.parquet).

Infer the output format from the output file extension:

ExtensionFormat clause
.parquet, .pq(default, no clause needed)
.csv(FORMAT csv, HEADER)
.tsv(FORMAT csv, HEADER, DELIMITER '\t')
.json(FORMAT json, ARRAY true)
.jsonl, .ndjson(FORMAT json, ARRAY false)
.xlsx(FORMAT xlsx) — requires INSTALL excel; LOAD excel;
.geojson(FORMAT GDAL, DRIVER 'GeoJSON') — requires LOAD spatial;
.gpkg(FORMAT GDAL, DRIVER 'GPKG') — requires LOAD spatial;
.shp(FORMAT GDAL, DRIVER 'ESRI Shapefile') — requires LOAD spatial;

Step 2 — Convert

Run a single DuckDB command. Prepend extension loads as needed based on both the input and output formats.

bash
duckdb -c "
<EXTENSION_LOADS>
COPY (FROM '<INPUT_PATH>') TO '<OUTPUT_PATH>' <FORMAT_CLAUSE>;
"

For remote inputs (s3://, https://, etc.), prepend the same protocol setup as read-file:

ProtocolPrepend
s3://LOAD httpfs; CREATE SECRET (TYPE S3, PROVIDER credential_chain);
gs:// / gcs://LOAD httpfs; CREATE SECRET (TYPE GCS, PROVIDER credential_chain);
https:// / http://LOAD httpfs;

If the user mentions partitioning (e.g., "partition by year"), add PARTITION_BY (col) to the format clause. This only works with Parquet and CSV output.

If the user mentions compression (e.g., "use zstd"), add CODEC 'zstd' for Parquet output.

Step 3 — Report

On success, report:

  • Input file and detected format
  • Output file, format, and size (ls -lh)
  • Row count if quick to compute

On failure:

  • `duckdb: command not found` → delegate to /duckdb-skills:install-duckdb
  • Missing extension → install it and retry
  • Input parse error → suggest the user check the input format or try /duckdb-skills:read-file first to inspect it

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