education-data-query

Downloads educational datasets from configured mirror sources and filters them locally with Polars.

226|35|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/DAAF-Contribution-Community/daaf --skill education-data-query
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: education-data-query
Source: https://github.com/DAAF-Contribution-Community/daaf/tree/main/.claude/skills/education-data-query
Command: npx skills add https://github.com/DAAF-Contribution-Community/daaf --skill education-data-query

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of downloading diverse education datasets from various configured mirror sources, simplifying data acquisition for research and analysis.

Core Features & Use Cases

  • Dataset Downloading: Retrieves datasets from multiple mirror sources with configurable priority.
  • Flexible Filtering: Applies year and demographic filters locally using Polars after data download.
  • Discovery: Checks available files via mirror discovery endpoints to avoid guesswork.
  • Use Case: Researchers can quickly download specific enrollment data for a given state and year, apply local filters for demographic groups, and ensure data integrity by checking mirror availability before fetching.

Quick Start

Use the education-data-query skill to download the school enrollment data for California in the year 2022.

Frequently Asked Questions about education-data-query

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

FAQPage Schema
How do I download education datasets from mirror sources?

You can download education datasets by querying configured mirror sources, which support multiple file formats and handle dataset discovery to ensure data availability before fetching.

Can I filter education data by year and demographic groups locally?

Yes, you can filter education data by year and demographic groups locally using Polars after the dataset download from the mirror source is complete.

How does dataset discovery work for education data retrieval?

Dataset discovery checks available files via mirror discovery endpoints, preventing guesswork and ensuring data integrity by verifying mirror availability before fetching education data.

What's the best way to handle errors when fetching education data from multiple mirrors?

Fetching education data from mirrors includes robust error handling across configured sources with priority settings, ensuring reliable dataset retrieval even if some mirrors fail.

Do I need Polars to filter downloaded education datasets?

Polars is used to apply local filtering to downloaded education datasets, specifically handling year and demographic filters after the data acquisition process is complete.