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deep-research

deep-research

github.com/claude-office-skillsProductivity5455.0k installsUpdated 39w ago
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About deep-research

deep-research is a research skill for people preparing structured reports to support decisions. It guides scoping, multi-perspective analysis, synthesis, and source organization, while noting its limits on live and primary research.

Key features

  1. 01Research question scoping
  2. 02Multi-angle analysis
  3. 03Finding synthesis
  4. 04Insight extraction
  5. 05Structured report generation
  6. 06Source organization and citations

Use cases

  1. 01Preparing an executive brief
  2. 02Comparing arguments on a policy question
  3. 03Exploring a technology topic
  4. 04Organizing findings for a decision

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/claude-office-skills/skills --skill deep-research

After installing, type/deep-researchin Claude Code to confirm it loaded.

Details

From the project README

Deep Research Skill

Overview

I help you conduct comprehensive, multi-faceted research on any topic. I analyze information from multiple perspectives, synthesize findings, and deliver structured research reports suitable for decision-making.

What I can do:

  • Systematic topic exploration
  • Multi-angle analysis (pros/cons, different viewpoints)
  • Information synthesis and structuring
  • Key insight extraction
  • Comprehensive report generation
  • Source organization and citation

What I cannot do:

  • Access real-time internet (unless tools provided)
  • Conduct primary research (surveys, interviews)
  • Access paywalled or proprietary databases
  • Guarantee 100% accuracy of synthesized information

How to Use Me

Step 1: Define Research Question

Provide:

  • Main research question or topic
  • Specific sub-questions (if any)
  • Context and purpose of research
  • Any constraints or focus areas
Step 2: Set Research Parameters
  • Scope: Broad overview vs. narrow deep-dive
  • Perspectives: Technical, business, social, legal, etc.
  • Time frame: Historical, current, future-focused
  • Depth: Surface-level vs. comprehensive
Step 3: Specify Output Format
  • Executive Brief: 1-2 page summary
  • Standard Report: 5-10 page comprehensive report
  • Deep Dive: 15+ page detailed analysis
  • Presentation: Slide-ready bullet points

Research Methodology

Phase 1: Scoping
1. Understand the research question
2. Identify key concepts and terms
3. Define boundaries and constraints
4. Establish success criteria
Phase 2: Information Gathering
1. Explore primary aspects of the topic
2. Identify relevant subtopics
3. Collect diverse perspectives
4. Note key facts, data, and quotes
Phase 3: Analysis
1. Organize information by theme
2. Identify patterns and trends
3. Compare different viewpoints
4. Assess reliability and bias
Phase 4: Synthesis
1. Develop key insights
2. Draw conclusions
3. Identify gaps and limitations
4. Formulate recommendations
Phase 5: Reporting
1. Structure findings logically
2. Present balanced perspectives
3. Cite sources appropriately
4. Provide actionable takeaways

Research Frameworks

PESTEL Analysis (for market/industry topics)
FactorQuestions to Explore
PoliticalRegulations, government policy, political stability
EconomicGrowth, inflation, employment, currency
SocialDemographics, culture, consumer behavior
TechnologicalInnovation, automation, R&D
EnvironmentalSustainability, climate, resources
LegalLaws, compliance, litigation
5W1H Framework (for any topic)
  • What: Definition, scope, components
  • Why: Causes, motivations, rationale
  • Who: Stakeholders, actors, affected parties
  • When: Timeline, milestones, history
  • Where: Geography, context, application
  • How: Mechanisms, processes, methods
Argument Mapping
Claim: [Main thesis or finding]
├── Supporting Evidence 1
│   └── Source & strength
├── Supporting Evidence 2
│   └── Source & strength
├── Counter-argument 1
│   └── Rebuttal
└── Counter-argument 2
    └── Rebuttal

Output Format

# Research Report: [Topic]

**Research Question**: [Main question being addressed]
**Date**: [Date]
**Prepared by**: AI Research Assistant

---

## Executive Summary

[3-5 sentence overview of key findings and conclusions]

**Key Findings**:
1. [Finding 1]
2. [Finding 2]
3. [Finding 3]

**Recommendation**: [Brief actionable recommendation]

---

## Table of Contents

1. Introduction
2. Background
3. [Main Section 1]
4. [Main Section 2]
5. [Main Section 3]
6. Analysis & Discussion
7. Conclusions
8. Recommendations
9. Sources & Further Reading

---

## 1. Introduction

### Research Objective
[What this research aims to accomplish]

### Scope & Boundaries
[What is and isn't covered]

### Methodology
[How the research was conducted]

---

## 2. Background

### Context
[Relevant background information]

### Key Terms & Definitions
| Term | Definition |
|------|------------|
| [Term 1] | |
| [Term 2] | |

### Historical Overview
[Brief history if relevant]

---

## 3. [Main Section 1]

### Overview
[Introduction to this aspect]

### Key Points

#### [Subsection 1.1]
[Detailed analysis]

#### [Subsection 1.2]
[Detailed analysis]

### Summary
[Key takeaways from this section]

---

## 4. [Main Section 2]

[Similar structure...]

---

## 5. [Main Section 3]

[Similar structure...]

---

## 6. Analysis & Discussion

### Key Patterns & Trends
[Patterns identified across the research]

### Multiple Perspectives

#### Perspective A: [Viewpoint]
[Analysis of this viewpoint]

#### Perspective B: [Viewpoint]
[Analysis of this viewpoint]

### Strengths & Weaknesses
| Strengths | Weaknesses |
|-----------|------------|
| | |

### Gaps & Limitations
[What the research couldn't fully address]

---

## 7. Conclusions

### Main Findings
1. [Conclusion 1]
2. [Conclusion 2]
3. [Conclusion 3]

### Implications
[What these findings mean for the reader]

---

## 8. Recommendations

### Immediate Actions
1. [Action 1]
2. [Action 2]

### Further Research Needed
1. [Area 1]
2. [Area 2]

---

## 9. Sources & Further Reading

### Primary Sources
1. [Source 1]
2. [Source 2]

### Additional Resources
1. [Resource 1]
2. [Resource 2]

---

## Appendices

### Appendix A: [Supporting Data]
### Appendix B: [Detailed Analysis]

---

*Research conducted using AI-assisted analysis. Findings should be verified with primary sources for critical decisions.*

Example Research Topics

  1. Technology: "What are the implications of quantum computing for cybersecurity?"
  2. Business: "How are companies successfully implementing AI in customer service?"
  3. Policy: "What are the pros and cons of universal basic income?"
  4. Science: "What is the current state of CRISPR gene editing technology?"
  5. Market: "What factors are driving the growth of electric vehicles?"

Tips for Better Results

  1. Be specific about your research question
  2. Provide context about why you need this research
  3. Specify perspectives you want explored
  4. Indicate depth required (overview vs deep dive)
  5. Ask for sources if you need to verify information
  6. Request multiple viewpoints for balanced analysis

Limitations

  • Cannot access real-time web data
  • Cannot access paywalled content
  • Knowledge has a training cutoff date
  • Cannot conduct primary research
  • May have biases in synthesized information
  • Cannot guarantee accuracy of all facts

Built by the Claude Office Skills community. Contributions welcome!

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