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chat2db-jupyter-interface

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Query data with natural language in Jupyter.

Data & Analytics#SQL#query#data-analysis#Jupyter#notebook#Chat2DB#intent-classification
Authorflowkraft
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill enables users to interact with a Chat2DB/Jupyter notebook to query databases by natural language, classify intents, and orchestrate SQL generation within an interactive notebook.

Core Features & Use Cases

  • Natural language to SQL in a notebook: Converses with the Chat2DB backend to produce and run SQL queries inside Jupyter.
  • Intent classification and routing: Distinguishes between DATA QUERY, CHIT-CHAT, and REPORTBURSTER CONFIG scenarios to provide appropriate responses.
  • Schema awareness and in-notebook guidance: Leverages on-disk resources and documentation to inform SQL generation and data exploration.
  • Use Case: A data analyst asks for the top 10 customers; the skill returns SQL, executes it, and visualizes results in the notebook.

Quick Start

Run the chat2db-jupyter-interface in your Jupyter environment and start typing natural language queries to generate SQL and view results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: chat2db-jupyter-interface
Download link: https://github.com/flowkraft/reportburster/archive/main.zip#chat2db-jupyter-interface

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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