Data Factory ChatGPT Skills

Operational tips and best practices for working with Microsoft Fabric Data Factory, optimized for ChatGPT Custom GPTs.

Installation Options

Option 1: Create a Custom GPT (Recommended)

1. Go to ChatGPT → Explore GPTs → Create
2. In the Configure tab:
   • Name: Data Factory Assistant
   • Description: Expert assistant for Microsoft Fabric Data Factory, M queries, and Dataflow Gen2
   • Instructions: Copy the contents of gpt-instructions.md
3. Under Knowledge, upload these files:
   • knowledge-core.md
   • knowledge-performance.md
   • knowledge-destinations.md
   • knowledge-advanced.md
4. Under Capabilities, enable:
   • ✅ Code Interpreter (for M code analysis)
5. Click Create → Save

Option 2: Use with ChatGPT Projects

1. Create a new Project in ChatGPT
2. Go to Project Settings → Instructions
3. Paste the contents of gpt-instructions.md
4. Upload the knowledge files to the project

Option 3: Custom Instructions (Personal Use)

1. Go to ChatGPT Settings → Personalization → Custom Instructions
2. In "How would you like ChatGPT to respond?", paste a condensed version of gpt-instructions.md

Files

File	Purpose
gpt-instructions.md	System instructions for the GPT
knowledge-core.md	M basics, Dataflow Gen2 overview
knowledge-performance.md	Query optimization, timeouts, chunking
knowledge-destinations.md	Output configuration, programmatic setup
knowledge-advanced.md	Fast Copy, Action.Sequence, Modern Evaluator

What's Covered

Core

• M (Power Query) fundamentals
• Dataflow Gen2 architecture
• Common patterns and best practices

Performance

• Handling query timeouts via chunking
• Filter early, expensive operations last
• Connector selection
• Query organization patterns

Destinations

• Lakehouse → Lakehouse architecture
• Automatic vs Manual schema settings
• Programmatic destination configuration
• Hidden _DataDestination query pattern

Advanced

• Action.Sequence for side-effecting writes
• Fast Copy (limited transforms, fast ingestion)
• Modern Evaluator (complex transforms, limited connectors)

Usage Examples

Once your GPT is created, you can ask:

• "My query is timing out, how do I fix it?"
• "How do I set up a data destination programmatically?"
• "What's the difference between Fast Copy and Modern Evaluator?"
• "Help me write an M query to aggregate sales by month"
• "Explain Action.Sequence and when to use it"

Comparison with Claude Skills

Feature	Claude Skills	ChatGPT Skills
Format	Multiple .md files with YAML frontmatter	Instructions + Knowledge files
Loading	On-demand via RAG triggers	All knowledge available
Best for	Claude Projects	Custom GPTs or ChatGPT Projects