Inspect datasets from files or URLs using DuckDB.
npx skills add https://github.com/nq-rdl/agent-extensions --skill read-file-nq-rdl
Please help me install this Agent Skill. Skill: read-file Source: https://github.com/nq-rdl/agent-extensions/tree/main/skills/duckdb/read-file Command: npx skills add https://github.com/nq-rdl/agent-extensions --skill read-file-nq-rdl
Quickly read and profile datasets by treating a provided file path or URL as the target dataset, enabling schema discovery and sample extraction without writing code.
Use a dataset path or URL to inspect its structure and content, and obtain immediate insights.
High-intent search queries and answers about installing and using this skill.
You can profile a CSV or Parquet file by providing its path or URL. The Skill uses a DuckDB macro to automatically detect the format, read the dataset, and return schema details, sample rows, and row counts.
Yes, you can read remote data files from a URL for schema discovery. The Skill supports remote sources by using optional DuckDB preloads for httpfs and cloud credentials to access and inspect the dataset.
For quick data profiling, DuckDB supports reading CSV, JSON, Parquet, Avro, Excel, SQLite, and spatial formats. A single macro auto-detects these formats and routes the read operation to extract schema and samples.
Yes, you need DuckDB installed to inspect an Excel or SQLite dataset. The Skill requires DuckDB to execute its auto-detecting macro and extract schema and sample rows from your target files.
The best way to get row counts and sample rows from a JSON file is to pass the file path to this Skill. It leverages DuckDB to automatically detect the JSON format and return immediate schema and sampling insights.
Limitations when reading spatial formats or Avro files with DuckDB depend on environment setup. Users may need optional preloads for httpfs or cloud credentials to ensure remote sources are correctly accessed and profiled.
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