Last commit on April 26, 2026·Created on January 11, 2026
nimrodfisher/data-analytics-skills
“A library of specialized routines for auditing data quality and refining analytical workflows”
Combined rank
#433
across all skills
Stars
369
7d change unavailable
Forks
72
Watchers
3
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
TL;DR
This collection provides structured methods for validating data pipeline outputs and performing systematic exploratory analysis. It helps data engineers and analysts audit datasets against business rules, schema constraints, and freshness expectations to ensure reliability before production use.
The repository also includes frameworks for post-analysis retrospectives, allowing teams to document lessons learned and improve their internal analytical practices after completing major projects.
WHO IT'S FOR
Data Engineers
validating data pipeline outputs before production
Data Analysts
performing systematic exploratory data analysis
Analytics Engineers
reviewing SQL queries for performance and correctness
Database Administrators
mapping relationships in unfamiliar database schemas
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Want to install it?
Manual CopyRepository instructions