data-quality-monitoring
CommunityEnsure data quality, catch anomalies early.
Data & Analytics#data quality#data pipeline#anomaly detection#freshness#schema drift#null ratio#safe write
Authorfabioc-aloha
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Data teams rely on trustworthy data pipelines; this Skill provides automated checks to detect quality issues before they impact decisions.
Core Features & Use Cases
- Anomaly detection across pipelines (row count, drift, null ratios) to surface issues quickly.
- Schema drift and freshness checks to guard against silent data quality degradation.
- Safe-write protections and baseline management to prevent unsafe data overwrites.
Quick Start
Run a data quality check on the latest pipeline run.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-quality-monitoring Download link: https://github.com/fabioc-aloha/AlexMedia/archive/main.zip#data-quality-monitoring Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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