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data-pipeline

Automate sports analytics pipelines for data collection, predictions, and drift detection.

2|1|Updated May 1, 2026
Search Tags:#automation#drift detection#scheduling#sports analytics#model management#prediction pipeline
One-click install
npx skills add https://github.com/PuckAPI/claude-sports-analytics --skill data-pipeline-puckapi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-pipeline
Source: https://github.com/PuckAPI/claude-sports-analytics/tree/main/skills/data-pipeline
Command: npx skills add https://github.com/PuckAPI/claude-sports-analytics --skill data-pipeline-puckapi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of building and managing automated sports analytics pipelines, enabling users to run daily data pulls, generate predictions, track models, and monitor drift without manual intervention.

Core Features & Use Cases

  • Pipeline Automation: Set up scheduled workflows for daily NHL data collection and prediction generation.
  • Model Management: Version control models, update active models, and automate retraining conditions.
  • Monitoring and Alerts: Detect drift in model accuracy and trigger alerts for retraining.
  • Use Case: A data analyst wants to automate daily NHL predictions, track model performance, and be notified of any drift to maintain predictive accuracy.

Quick Start

Create a scheduled workflow that pulls game data, updates odds, runs predictions, and logs results automatically each morning.

Frequently Asked Questions about data-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate daily sports analytics pipelines for predictions?▼

Automating daily sports analytics pipelines involves scheduling workflows for data gathering, prediction execution, and model tracking. This enables continuous daily NHL prediction generation without manual intervention.

What is model drift detection in sports prediction pipelines?▼

Model drift detection in sports prediction pipelines monitors model accuracy over time to identify performance degradation. It automatically triggers alerts for retraining to maintain continuous predictive accuracy.

How do I schedule workflows for daily NHL data collection and prediction generation?▼

Scheduling workflows for daily NHL data collection requires setting up automated pipelines that pull game data, update odds, run predictions, and log results automatically each morning.

Can I version control sports prediction models and automate retraining?▼

Versioning sports prediction models and automating retraining is possible by managing model versions, updating active models, and setting automated retraining conditions based on drift detection alerts.

What's the best way to monitor model accuracy and detect drift in sports analytics?▼

Monitoring model accuracy and detecting drift in sports analytics is best achieved through automated workflows that track performance, detect accuracy changes, and trigger alerts for necessary retraining.

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