magic-data-synthesis

Natural Language Triggers

Activate this skill when the user says things like:

• "synthesize data" / "generate missing values" / "fill in the blanks with LLM"
• "translate this column" / "convert HTML to markdown"
• "annotate these records" / "label this data"
• "enrich this dataset" / "generate descriptions"
• "fill the TBD placeholders" / "replace sentinels with real content"
• "use DataDesigner" / "run data-designer"

These produce the SAME behavior as the synthesis workflow. Natural language works equally well.

When to Use

• Columns have missing values, sentinels ("X", "N/A", "TBD"), or placeholders needing contextual generation
• Format conversion (HTML→markdown), translation, annotation, labeling, summarization
• Structured field extraction from unstructured text into multiple columns
• Reference join leaves gaps → LLM fills remaining (use enrich_from_reference.py first)