Can I use this for domains other than AI?

Yes, the framework is field-agnostic and has been successfully applied to manufacturing, healthcare, fintech, edtech, and sustainability.

Does this skill integrate with external data?

Yes, it is designed to work with MCP servers like WebSearch for real-time trend discovery and Sequential Thinking for complex multi-step reasoning.

What is the Domain Research skill for Claude Code?

It is a specialized capability that provides a structured framework for conducting systematic research in any field, guiding users from initial discovery to final action plans.

Do I need specific documents to start?

No, you can start with a vague interest using the /research command, and the skill will guide you through natural dialogue to define your research context.

How does the research pipeline work?

It follows a 5-step process: Intent Analysis, Question Generation, Gap Identification, Insight Extraction, and Practical Synthesis into a final roadmap.

Domain Research Framework

Name: Domain Research Framework
Author: hongsw

byhongsw

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Productivity & Workflow

Automates the transition from broad exploration to structured, evidence-based domain research and actionable implementation plans.

About

The Domain Research skill transforms Claude into a sophisticated research assistant capable of guiding users through a systematic 5-step pipeline for any industry or topic. By utilizing conversational intent analysis, it converts vague interests into structured research parameters, identifies knowledge gaps, synthesizes multi-source evidence, and produces practitioner-focused roadmaps. It is ideal for professionals who need to bridge the gap between theoretical exploration and practical execution in fields like AI, healthcare, finance, and sustainability, ensuring every insight is grounded in data and mapped to concrete actions.

Key Features

Automated research gap identification to highlight underexplored niche areas
Systematic 5-step research pipeline from question generation to action planning
Conversational intent analysis to refine research context from vague initial prompts
Evidence-based roadmap generation with KPIs, timelines, and risk assessments
16 GitHub stars
Multi-source synthesis for integrating insights from papers, reports, and documents

Use Cases

Transforming a general interest in industry trends into a structured competitive analysis
Developing executable implementation roadmaps for new technology adoption in specialized sectors
Conducting a deep-dive research synthesis for academic or professional whitepapers

About

Key Features

Automated research gap identification to highlight underexplored niche areas
Systematic 5-step research pipeline from question generation to action planning
Conversational intent analysis to refine research context from vague initial prompts
Evidence-based roadmap generation with KPIs, timelines, and risk assessments
16 GitHub stars
Multi-source synthesis for integrating insights from papers, reports, and documents

Use Cases

Transforming a general interest in industry trends into a structured competitive analysis
Developing executable implementation roadmaps for new technology adoption in specialized sectors
Conducting a deep-dive research synthesis for academic or professional whitepapers