create-deep-research-prompt

name	CREATE_DEEP_RESEARCH_PROMPT
description	Generate a structured deep research prompt. USE WHEN the user needs to research a complex topic, market, or bug deeply. Capabilities include objective clarification, tech stack validation, and prompt generation.

CREATE DEEP RESEARCH PROMPT

Owner: Manny (Product Manager)

Goal

To translate a vague user request (e.g., "Research AI frameworks") into a highly specific, effective prompt for a Deep Research tool or agent.

Core Principles

• Context is King: A research prompt without clear objectives yields noise.
• Tech Validation: If researching technology, use context7 to ensure terms and versions are correct.
• Classification: Different research (Market vs. Bug vs. Tech) requires different prompt structures.

Workflow Instructions

1. Classification

• Action: Determine the research type.
  • Product Validation (Do users actually need this?)
  • Technical Review (Is this feasible?)
  • Bug Diagnosis (Why is this breaking?)
  • Market Analysis (Who are the benchmarks?)

2. Objective Clarification

• Action: Elicit the "Why."
• Prompt: "What decision will this research enable?" or "What is the single most important question to answer?"
• Constraint: Stop if the goal is "just curious." Push for actionable intent.

3. Context & Tech Validation

• Action: If the research involves specific tools/libraries:
  • Call context7 MCP to verify the library names and current versions.
  • Example: If user says "Research Next.js router," verify if they mean Pages or App Router.

4. Constructing the Prompt

• Action: Assemble the research directive.
• Structure:
  • Objective: The "North Star" question.
  • Key Questions: 3-5 specific sub-questions.
  • Methodology: How to search (e.g., "Compare documentation," "Search forums," "Read whitepapers").
  • Sources: Define authorized sources (e.g., "Official docs only," "GitHub issues," "Reddit").
  • Deliverable: What the output should look like (Table, Summary, Code snippets).

5. Review & Export

• Action: Present the draft prompt to the user.
• Refine: Incorporate feedback.
• Output: Save the final prompt as a Markdown file in outputs/research_prompts/.

Anti-Patterns

• NEVER generate a generic "Tell me about X" prompt.
• NEVER include hallucinated library versions in a research prompt.
• NEVER skip the "Success Criteria" definition.

Output Format

A Markdown file containing the structured prompt, ready to be fed into a reasoning model or research agent.