research-ideation

Name: research-ideation
Availability: InStock
Author: ambrosetric

Generates structured research questions, hypotheses, and empirical strategies from topics or datasets.

Updated Mar 2, 2026

Search Tags:#research #hypotheses #study design #dataset analysis #empirical strategies

Ready to run

npx skills add https://github.com/AmbroseTriC/ECON53_DAC --skill research-ideation-ambrosetric

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-ideation
Source: https://github.com/AmbroseTriC/ECON53_DAC/tree/main/.agents/skills_pre_codex_migration_2026-03-19/research-ideation
Command: npx skills add https://github.com/AmbroseTriC/ECON53_DAC --skill research-ideation-ambrosetric

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

It helps researchers and analysts quickly generate structured, testable research questions, hypotheses, and empirical strategies from raw topics or datasets, streamlining the research planning process.

Core Features & Use Cases

Question Generation: Produces multiple research questions covering descriptive, causal, and policy angles.
Strategy Development: Details identification methods, data requirements, and key assumptions for each question.
Application: Useful for designing studies on economic, social, or health datasets by framing clear research paths and assessing feasibility.

Quick Start

Use the research-ideation skill to generate research questions based on a provided dataset description or research topic.

Frequently Asked Questions about research-ideation

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

FAQPage Schema

How do I generate testable research questions and hypotheses from a raw dataset?▼

To generate research questions and hypotheses from a dataset, provide a description of the data or research topic. The skill formulates descriptive, causal, and policy angles to structure your empirical study design effectively.

What is the best way to develop an empirical strategy for a social science study?▼

Developing an empirical strategy for a social science study requires detailing identification methods, data requirements, and key assumptions. This skill structures these elements to frame clear research paths and assess study feasibility.

Can I use this skill to design a research plan for health economics datasets?▼

Yes, you can use this skill to design a research plan for health economics datasets. It is specifically applicable for rigorous plan development in economics, social sciences, and health research contexts.

How to formulate descriptive and causal research questions for academic policy research?▼

To formulate descriptive and causal research questions for academic policy research, input your topic or dataset. The skill produces multiple targeted questions covering different analytical angles to guide your methodology.

Does this skill identify data requirements and assumptions for my study design?▼

Yes, this skill identifies data requirements and key assumptions for your study design. It details these components during strategy development to help you assess the feasibility of your empirical research paths.

What limitations should I consider when using automated research ideation for literature context?▼

When using automated research ideation, consider that it facilitates planning rather than executing the final empirical analysis. It streamlines question formulation and methodology framing, but you must manually validate the literature context and underlying assumptions.