data-quality-check

Installation
SKILL.md

Data Quality Check

Purpose

Assess data reliability before any analysis begins so that findings are not built on faulty foundations.

When to use

Use this skill when:

  • you receive a new dataset, CSV, table, or export for analysis
  • a metric or finding seems suspicious and the data source has not been audited
  • a downstream analysis (root cause, funnel, retention, experiment) depends on the integrity of a specific dataset
  • a stakeholder is asking for insights from data whose quality is unknown

Always run this skill before applying any analytical skill to a new data source.

When not to use

Installs
1
GitHub Stars
5
First Seen
Aug 7, 2026