ClaudeSuperPower

analyzing-data

Skill

Queries the data warehouse with SQL and answers business questions about data. Use when answering anything that needs warehouse data - counts, metrics, trends, aggregations, joins across tables, data lookups, or ad-hoc SQL analysis (for example "who uses X", "how many Y", "show me Z", "find customer

Install

git clone https://github.com/astronomer/agents.git ~/.claude/skills/analyzing-data

What is analyzing-data?

Queries the data warehouse with SQL and answers business questions about data. Use when answering anything that needs warehouse data - counts, metrics, trends, aggregations, joins across tables, data lookups, or ad-hoc SQL analysis (for example "who uses X", "how many Y", "show me Z", "find customers", "what is the count").

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~81 tokens of context used while enabled, before you invoke anything

Trust

87/100 · Excellent

2 factors scored below maximum

Documentation

README · ~3 min read

Data Analysis

Answer business questions by querying the data warehouse. The kernel auto-starts on first exec call.

All CLI commands below are relative to this skill's directory. Before running any scripts/cli.py command, cd to the directory containing this file.

Workflow

  1. Pattern lookup — Check for a cached query strategy:
    uv run scripts/cli.py pattern lookup "<user's question>"
    
    If a pattern exists, follow its strategy. Record the outcome after executing:

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