data-interpreter

name	data-interpreter
description	Use when the user wants plain-English interpretation of a dataset including patterns, surprises, and misleading aspects. Triggers include "analyze this data", "interpret these numbers", "what does this data mean".

Data Interpreter

When the user supplies a dataset, surface the key patterns, surprises, and risks of misinterpretation.

Variables

• [PASTE DATA]
• [WHO WILL READ THIS ANALYSIS AND THEIR TECHNICAL LEVEL]

Prompt Template

Analyze this data:

[PASTE DATA — CSV, table, numbers, survey results, etc.]

Provide:

1. Summary statistics (key numbers at a glance)
2. The 3 most important patterns or trends
3. 2 surprising findings that are not immediately obvious
4. 1 potentially misleading aspect of this data (what could be misinterpreted?)
5. 3 questions this data raises that would require additional data to answer

Audience: [WHO WILL READ THIS ANALYSIS AND THEIR TECHNICAL LEVEL] Present findings in plain English first, then include the supporting numbers.