deep-research · claude-office-skills — Claude Code skill: structured research reports
Runs a topic through five research phases and returns a structured report with findings, recommendations and sources. Useful when you need analysis, not a link dump.
npx skills add claude-office-skills/skills --skill deep-research -a claude-codeWhat deep-research does
The skill lays out a five-phase method: scope the question, gather material, analyse it by theme, synthesise insights, then write the report. Market and industry topics get a PESTEL pass, anything else gets 5W1H and an argument map with counter-arguments. Output follows a markdown template — executive summary, table of contents, analysis sections, conclusions, recommendations, sources.
You pick the shape of the deliverable: an executive brief, a standard report, a deep dive, or slide-ready bullets. Scope, perspectives and depth are set by the person asking, so the same skill covers a quick overview and a long investigation.
There is no live internet access unless search tools are wired in. Surveys and interviews are out, paywalled databases are out, and the skill does not promise that synthesised facts are correct — verify anything that feeds a real decision. Export to docx and xlsx is listed through the office-mcp server and its create_docx and create_xlsx tools.
What it helps with
- break an unfamiliar topic into sub-questions and boundaries
- collect arguments for and against a single question
- turn scattered notes into a report with a table of contents
- run a PESTEL pass over a market or industry
- pull conclusions and recommendations out of gathered material
Example prompts for the agent
- Do a deep research pass on the risks quantum computing poses to cryptography. Standard report format.
- Write an executive brief on AI adoption in customer service, covering business and technical angles.
- Analyse universal basic income with PESTEL and give me slide-ready bullets.
How to install deep-research
1Skills CLI (Vercel)
npx skills add claude-office-skills/skills --skill deep-research -a claude-code2Manually: put the files in place
~/.claude/skills/deep-research/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/deep-research/
1Skills CLI (Vercel)
npx skills add claude-office-skills/skills --skill deep-research -a codex2Manually: put the files in place
.agents/skills/deep-research/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add claude-office-skills/skills --skill deep-research -a cursor2Manually: put the files in place
.cursor/skills/deep-research/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install claude-office-skills/skills deep-research2Manually: put the files in place
.github/skills/deep-research/SKILL.md1Skills CLI (Vercel)
npx skills add claude-office-skills/skills --skill deep-research -a gemini-cli2Platform CLI
gemini skills install https://github.com/claude-office-skills/skills --path deep-researchManually: put the files in place
.devin/skills/deep-research/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add claude-office-skills/skills --skill deep-research -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about deep-research
How do I install deep-research in Claude?
Run npx skills add claude-office-skills/skills --skill deep-research -a claude-code. The skill file then lives at ~/.claude/skills/deep-research/SKILL.md.
What does deep-research do?
It walks a topic through five research phases and packages the result as a structured report: executive summary, analysis sections, conclusions, recommendations and sources.
Does the skill need internet access?
No, it has no real-time access on its own. If you need fresh data, search tools have to be connected separately.
Source text
SKILL.md · MIT
---
# ═══════════════════════════════════════════════════════════════════════════════
# CLAUDE OFFICE SKILL - Deep Research
# ═══════════════════════════════════════════════════════════════════════════════
name: deep-research
description: "Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports."
version: "1.0.0"
author: claude-office-skills
license: MIT
category: research
tags:
- research
- analysis
- synthesis
- report
- investigation
department: Research/Strategy
models:
recommended:
- claude-sonnet-4
- claude-opus-4
compatible:
- claude-3-5-sonnet
- gpt-4
- gpt-4o
mcp:
server: office-mcp
tools:
- create_docx
- create_xlsx
capabilities:
- topic_research
- information_synthesis
- multi_perspective_analysis
- report_generation
- source_compilation
languages:
- en
- zh
related_skills:
- web-search
- academic-search
- company-research
- competitive-analysis
---
# 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)
| Factor | Questions to Explore |
|--------|---------------------|
| Political | Regulations, government policy, political stability |
| Economic | Growth, inflation, employment, currency |
| Social | Demographics, culture, consumer behavior |
| Technological | Innovation, automation, R&D |
| Environmental | Sustainability, climate, resources |
| Legal | Laws, 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
```markdown
# 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!*
© claude-office-skills · MIT · claude-office-skills/skills
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