fabric-helper

Generate Delta Lake and Spark SQL queries for Fabric Lakehouse and Warehouse.

1|Updated Dec 22, 2025

Search Tags:#delta #spark #fabric #lakehouse

Ready to run

npx skills add https://github.com/abdullah1854/ClaudeSuperSkills --skill fabric-helper

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fabric-helper
Source: https://github.com/abdullah1854/ClaudeSuperSkills/tree/main/fabric-helper
Command: npx skills add https://github.com/abdullah1854/ClaudeSuperSkills --skill fabric-helper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Assists with Fabric Lakehouse and Delta Lake queries, including read, write, merge, and optimize.

Core Features & Use Cases

Delta Queries: Read/Write/Merge/Optimize for Delta tables.
Spark SQL Bridges: Generate Spark SQL queries for farmable data.

Quick Start

Generate a read query for a Delta table or a merge statement for a new dataset.

Frequently Asked Questions about fabric-helper

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

FAQPage Schema

How do I generate Delta Lake read and write queries for Fabric Lakehouse?▼

Delta Lake read and write queries retrieve or insert data into Fabric Lakehouse tables. This Skill generates ready-to-run Spark SQL, PySpark, and Fabric SQL code templates for these operations, supporting schema-qualified table names, optional column selection, and filtering to accelerate query development.

Can I use this to create merge statements for Delta tables?▼

Yes. Merge operations update or insert rows into Delta tables based on join conditions. This Skill generates merge query templates for Delta tables in Fabric Lakehouse, handling schema qualification and optional filters to simplify complex upsert logic.

What optimization operations does this support for Delta Lake?▼

Delta Lake optimize operations compact small files and remove deleted data to improve query performance. This Skill generates optimize scripts compatible with Spark SQL and Fabric SQL, ready to apply to specified tables in your Lakehouse.

Does this work with partitioned Delta tables and time travel queries?▼

Yes. This Skill generates queries supporting partitioned table structures and Delta Lake time travel, allowing you to access historical table versions. Output includes Spark SQL, PySpark, and Fabric SQL templates with partition and temporal parameters.

What query languages and output formats does this generate?▼

This Skill generates code in three languages: Spark SQL, PySpark, and Fabric SQL. Each output is a ready-to-run template you can execute directly in Fabric Warehouse, Lakehouse notebooks, or Spark environments without modification.