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dataql-quick

Query CSV and JSON data files with DataQL via Bash.

4|Updated Jan 16, 2026
Search Tags:#bash#JSON#query#CSV#data-exploration#DataQL#data-preview
One-click install
npx skills add https://github.com/adrianolaselva/dataql --skill dataql-quick
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dataql-quick
Source: https://github.com/adrianolaselva/dataql/tree/main/cmd/skillsctl/embedded/skills/dataql-quick
Command: npx skills add https://github.com/adrianolaselva/dataql --skill dataql-quick

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables fast data exploration by running lightweight queries against data files using DataQL, reducing the need for ad-hoc scripting and manual inspection.

Core Features & Use Cases

  • Quick previews: Sample the content of CSV, JSON, or other supported formats.
  • Schema checks: Inspect table schemas to understand data types and structure.
  • Simple filtering: Apply lightweight WHERE conditions and basic aggregations for quick insights.
  • Use Case: A data analyst quickly previews a dataset to identify missing values and get a sense of distributions.

Quick Start

Run a quick query to preview a file: dataql run -f users.csv -q "SELECT * FROM users LIMIT 5"

Frequently Asked Questions about dataql-quick

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I preview CSV and JSON files quickly without writing scripts?▼

To preview CSV and JSON files quickly, you can run lightweight DataQL queries directly in the Bash shell. This approach eliminates manual inspection by sampling content and checking schemas instantly.

How do I check the schema of a CSV file from the command line?▼

To check the schema of a CSV file from the command line, run a DataQL query via the CLI. This allows you to inspect table structures and understand data types without opening a dedicated database client.

Can I apply simple filters to JSON data using DataQL?▼

Yes, you can apply simple filters to JSON data using DataQL. The CLI supports lightweight WHERE conditions and basic aggregations to help you extract quick insights from your local files.

Do I need a database to query local data files for quick exploration?▼

No, you do not need a database to query local data files for quick exploration. This Skill executes DataQL queries directly through the Bash shell, enabling fast previews and schema checks on flat files.

What is the best way to identify missing values in a dataset quickly?▼

The best way to identify missing values quickly is to run a filtering query using DataQL. By applying basic aggregations and WHERE conditions, you can immediately sense data distributions and spot gaps.

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