data-validator
CommunityDetect data anomalies, ensure data integrity.
Data & Analytics#data integrity#data quality#data validation#anomaly detection#statistical analysis#ML#NFL data
AuthorVatoCodes
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides ML-powered anomaly detection and comprehensive data quality insights, moving beyond basic checks to proactively identify statistical outliers, pattern breaks, and inconsistencies. It ensures your data is always reliable and accurate for critical decisions.
Core Features & Use Cases
- ML-Powered Anomaly Detection: Identifies outliers and unusual patterns using statistical analysis and algorithms like Isolation Forest.
- Comprehensive Quality Scoring: Assesses data completeness, accuracy, consistency, and timeliness with an overall quality grade.
- Schema & Business Rule Validation: Verifies data structure, types, ranges, and adherence to NFL-specific business rules.
- Use Case: Before running your weekly betting models, use this Skill to automatically validate all incoming data, detect any anomalies in player stats or odds, and generate a detailed quality report, ensuring your models operate on pristine data.
Quick Start
Validate all data for week 7 and generate a quality report.
Dependency Matrix
Required Modules
numpypandasscikit-learn
Components
scripts
💻 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-validator Download link: https://github.com/VatoCodes/Bet-That_Proof-of-Concept/archive/main.zip#data-validator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.