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data-finder

Identify and evaluate datasets for research questions, returning ranked lists with feasibility insights.

8|2|Updated Apr 2, 2026
Search Tags:#research#data#feasibility#data-quality#data-sourcing#datasets#data-finder
One-click install
npx skills add https://github.com/Felpix-Studios/social-science-research --skill data-finder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-finder
Source: https://github.com/Felpix-Studios/social-science-research/tree/main/skills/data-finder
Command: npx skills add https://github.com/Felpix-Studios/social-science-research --skill data-finder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data-finder helps researchers identify and assess datasets to answer research questions, surfacing feasible options and highlighting trade-offs.

Core Features & Use Cases

  • Parallel data discovery: reads project specs when available and searches multiple data sources in parallel.
  • Feasibility scoring: produces a ranked list with practical access considerations and limitations.
  • Use Case: Imagine needing national survey data to study employment outcomes; data-finder suggests suitable datasets with access steps and variables.

Quick Start

Ask data-finder to locate and evaluate datasets for your research question by providing a topic or using 'from spec' to read the project specification.

Frequently Asked Questions about data-finder

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

FAQPage Schema
How do I find datasets for a specific research question?▼

Finding datasets for a research question requires specifying your topic, desired variables, geography, and unit of observation. The tool searches multiple data sources in parallel and returns a ranked list with feasibility insights and access steps.

What is dataset feasibility scoring and how does it work?▼

Dataset feasibility scoring evaluates and ranks identified data sources against your research parameters. It produces a ranked list highlighting practical access considerations, documented trade-offs, and limitations to help you choose viable datasets.

Can I use a project specification to locate suitable datasets automatically?▼

You can use a project specification to locate datasets automatically. By initiating the request with 'from spec', the tool reads your existing project specification to identify and evaluate matching data sources in parallel.

What information do I need to provide to evaluate datasets for research?▼

To evaluate datasets for research, you must provide input on the topic, desired variables, geography, and unit of observation. This information drives the generation of practical access recommendations and documented trade-offs.

What types of data sources are searched when sourcing datasets for research?▼

When sourcing datasets for research, the tool searches across institutional, international, and domain data sources in parallel. This broad discovery strategy targets multiple repositories to surface viable options for your variables.

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