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Convert file

Skill Jylhis/skills/skills/services/convert-file

Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more. Use when the user says "convert to parquet", "save as xlsx", "export as JSON", "make this a CSV", "turn into parquet", or any variation of format-to-format conversion for data files. Also triggers when the user wants to write Parquet, Excel, or other binary formats that Claude cannot produce natively.From its SKILL.md

Install
npx -y skills add Jylhis/skills --skill convert-file

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

2.9 KB, 698 tokens by cl100k_base, as published. Nobody here has run it

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.

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most pdf office docs skills give in 698 tokens

Counted across 569 of the 585 authors here whose files we hold, read 2026-09-06

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  • Read STYLE_PRESETS.md before generatingin 12 of 569, across 7 files
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  • Use smart quotes for new contentin 11 of 569, across 4 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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