What domains can this research skill be used for?

The framework is domain-agnostic and has been successfully applied to Manufacturing, Healthcare, FinTech, Sustainability, AgTech, and more.

What is the final output of the research process?

The final output is a comprehensive, scannable practitioner guide featuring key findings, implementation timelines, metrics, and risk assessments.

How does the conversational discovery work?

It uses an adaptive intent analyzer to guide you through a brief dialogue (typically 3-6 exchanges), refining vague interests into a structured YAML research context.

Does this skill integrate with web search tools?

Yes, it is designed to integrate with MCP WebSearch servers for real-time paper discovery and validating industry trends during the research process.

Can I analyze my own documents and papers?

Yes, Step 3 (Insight Extraction) is specifically designed to perform deep analysis on individual research sources like papers, reports, and internal documents.

Domain Research Framework

Name: Domain Research Framework
Author: hongsw

byhongsw

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生产力与工作流

Orchestrates a systematic, 5-step research pipeline to transform vague interests into actionable, evidence-based domain insights.

关于

The Domain Research Framework is a comprehensive Claude Code skill designed to guide users from initial curiosity to professional-grade roadmaps across any field, from Healthcare AI to FinTech. By utilizing a structured conversational discovery process, it analyzes user intent, generates testable research questions, identifies critical knowledge gaps, and synthesizes data from multiple sources into a final practitioner's guide. This skill is ideal for professionals and researchers who need a rigorous, evidence-based methodology to bridge the gap between theoretical exploration and practical execution.

主要功能

Automated identification of research gaps and underexplored areas
Systematic 5-step pipeline from question generation to action plans
Conversational Intent Analysis to define research parameters
Practical roadmap generation with KPIs and implementation timelines
16 GitHub stars
Multi-source synthesis for integrated knowledge extraction

使用场景

Academic researchers bridging theoretical findings with industry applications
Business leaders conducting market research for new technology adoption
Consultants developing evidence-based strategy recommendations for clients

关于

主要功能

Automated identification of research gaps and underexplored areas
Systematic 5-step pipeline from question generation to action plans
Conversational Intent Analysis to define research parameters
Practical roadmap generation with KPIs and implementation timelines
16 GitHub stars
Multi-source synthesis for integrated knowledge extraction

使用场景

Academic researchers bridging theoretical findings with industry applications
Business leaders conducting market research for new technology adoption
Consultants developing evidence-based strategy recommendations for clients