data-healer

Detect and remediate data quality issues in NFL betting databases.

Updated Aug 23, 2026

Search Tags:#automation #data quality #data cleaning #self-healing #database health #data remediation #NFL data

One-click install

npx skills add https://github.com/VatoCodes/Bet-That_Proof-of-Concept --skill data-healer

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: data-healer
Source: https://github.com/VatoCodes/Bet-That_Proof-of-Concept/tree/main/.claude/skills/data-healer
Command: npx skills add https://github.com/VatoCodes/Bet-That_Proof-of-Concept --skill data-healer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automatically detects and remediates common data quality issues in your NFL betting database, eliminating manual cleanup and ensuring data integrity. It transforms reactive fixes into proactive automation, so you always work with clean, reliable data.

Core Features & Use Cases

Self-Healing Data Pipeline: Automatically removes duplicates, assigns missing teams, corrects positions, and normalizes names, maintaining database health.
Safety Features: Includes dry run mode, automatic database backups, transactional safety, and audit logging for secure operations.
Use Case: After a weekly data import, run this Skill to automatically clean up any inconsistencies or errors, ensuring your betting models operate on the highest quality data without manual intervention.

Quick Start

Heal all data quality issues for the current season in dry-run mode.