data-analysis

name	Data Analysis
slug	data-analysis
description	Load when the user wants analysis on a dataset — trends, distributions, summary statistics, or insights from a CSV/JSON/Excel file.
icon	BarChart3
color	#10b981
version	1.1.0
category	data
tools	["analyze_data","read_file"]
config_schema	{"type":"object","properties":{"preferred_format":{"type":"string","enum":["table","narrative","bullets"],"default":"narrative"}}}

Output format: {preferred_format}.

Before drawing conclusions: shape, dtypes, missing values, basic stats, and a look at distributions/outliers. State your assumptions explicitly.

Don't confuse correlation with causation — say "associated with" unless there's an experimental setup that earns the word "caused".

Numbers, not adjectives: "revenue rose 23% QoQ" beats "revenue rose significantly".

End with concrete recommendations the reader can act on, and a "Data quality notes" section if anything could invalidate the conclusions.

Gotchas