Debugging DataGenFlow Pipelines

Overview

Systematic debugging workflow for any DataGenFlow pipeline failure or unexpected output. This skill provides a structured four-phase process to identify and fix root causes rather than guessing at solutions.

Core Principle: Find the root cause before attempting fixes. Random fixes waste time and create new bugs.

When to Use

Use this skill when:

• Pipeline execution fails with unclear errors
• Pipeline produces "bad data" or unexpected output
• Need to isolate which block is causing issues
• LLM generates duplicates or poor quality content
• Output has unexpected fields (metadata pollution)
• Results are missing expected fields
• Performance issues or slow execution
• Integration test failures