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research-prompt

Interview users to craft precise research prompts for AI agents.

42|11|Updated Dec 26, 2025
Search Tags:#research#prompt engineering#information gathering#ai agent#question formulation#interviewing
One-click install
npx skills add https://github.com/petekp/claude-code-setup --skill research-prompt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-prompt
Source: https://github.com/petekp/claude-code-setup/tree/main/skills/generate-research-prompt
Command: npx skills add https://github.com/petekp/claude-code-setup --skill research-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill transforms vague research requests into precise, actionable prompts for advanced AI research agents, ensuring comprehensive and insightful results.

Core Features & Use Cases

  • Adaptive Interviewing: Asks targeted questions to understand the user's specific needs, existing knowledge, and desired outcomes.
  • Prompt Engineering: Crafts detailed prompts that guide research agents to deliver high-quality, relevant information.
  • Use Case: When a user says "I need to research AI in healthcare," this Skill will interview them about their specific goals (e.g., diagnostics, drug discovery, patient care), audience, and any constraints, then generate a prompt like: "Research the current state of AI in medical diagnostics, focusing on machine learning applications for image recognition in radiology. Identify key algorithms, their accuracy rates, and cite recent clinical validation studies. Also, outline the primary ethical considerations and regulatory hurdles for deploying these AI systems in patient care."

Quick Start

Use the research-prompt skill to help me formulate a research question about sustainable energy solutions.

Frequently Asked Questions about research-prompt

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

FAQPage Schema
How do I write better research prompts for AI agents?▼

To write better research prompts, you must define the scope, recency, audience, and desired output structure. Adaptive interviewing elicits your specific context, existing knowledge, and decisions, transforming vague requests into precise prompts for optimal AI research performance.

What is the best way to turn a vague research question into a detailed prompt?▼

The best way to refine a vague research question is through targeted question formulation. Interviewing you about specific goals, constraints, and desired outcomes crafts actionable prompts that guide AI agents to deliver high-quality, relevant information.

How does adaptive interviewing improve AI information gathering?▼

Adaptive interviewing improves AI information gathering by asking targeted questions to understand your specific needs. It extracts context on decisions, existing knowledge, and desired outcomes, ensuring the generated prompt yields comprehensive and insightful research results.

Do I need prior prompt engineering experience to structure research queries?▼

You do not need prior prompt engineering experience to structure research queries. The system interactively questions you to define scope and audience, automatically generating the detailed prompt structure required for advanced AI research agents.

Can I specify output formats when generating prompts for research agents?▼

You can specify output formats when generating prompts for research agents. The process explicitly requires defining your desired output structure alongside scope, recency, and audience to ensure the AI delivers the information exactly as needed.

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