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DaichiHoshina
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data-analysis

Analyze data across BigQuery, PostgreSQL, MySQL, SQLite, and CSV without writing SQL.

Updated Aug 27, 2026
Search Tags:#sqlite#sql#data-analysis#csv#mysql#bigquery#postgres
One-click install
npx skills add https://github.com/DaichiHoshina/ai-tools --skill data-analysis-daichihoshina
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/DaichiHoshina/ai-tools/tree/main/claude-code/skills/data-analysis
Command: npx skills add https://github.com/DaichiHoshina/ai-tools --skill data-analysis-daichihoshina

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly analyze data across multiple sources (BigQuery, PostgreSQL, MySQL, SQLite, and CSV) without writing SQL, enabling faster insights and reduced boilerplate.

Core Features & Use Cases

  • Native NL-to-SQL-free analytics across diverse data stores.
  • Automatic generation of exploratory queries, dashboards, and summary statistics.
  • Practical scenarios: ad-hoc data exploration, cross-database analysis, and lightweight reporting.

Quick Start

Ask a natural language question to start an SQL-free data analysis across your data sources.

Frequently Asked Questions about data-analysis

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

FAQPage Schema
How do I analyze data across BigQuery and MySQL without writing SQL?▼

You can analyze data across BigQuery and MySQL without writing SQL by using natural language prompts. The tool automatically generates and validates queries, providing summary statistics and visualization suggestions.

Can I combine CSV files with PostgreSQL data for cross-database analysis?▼

Yes, you can combine CSV files with PostgreSQL data for cross-database analysis. The tool acts as a unified connector, allowing you to query and explore data across different sources simultaneously.

How does natural language to SQL generation work for SQLite databases?▼

Natural language to SQL generation for SQLite works by translating your plain English questions into valid queries. It provides safe defaults and query validation, allowing ad-hoc data exploration without manual coding.

What is the best way to perform ad-hoc data exploration across multiple databases?▼

The best way to perform ad-hoc data exploration across multiple databases is through a unified analytics interface. It connects to diverse data stores, automatically generating exploratory queries and dashboards.

Do I need to install database drivers to analyze CSV files and run queries?▼

You do not need to install separate database drivers to analyze CSV files. The tool provides built-in connectors and safe defaults to access CSV, SQLite, BigQuery, PostgreSQL, and MySQL directly.

Are there limitations when using NL-to-SQL tools for cross-database analysis?▼

Limitations when using NL-to-SQL tools for cross-database analysis include potential constraints on complex joins across different systems. The tool mitigates this with query validation and lightweight reporting features.

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