Use this skill for comprehensive research tasks requiring deep investigation, multiple source validation, and citation-backed reports. Triggers on keywords like "research", "investigate", "deep dive", "comprehensive analysis", "literature review", or when needing validated, sourced information.
Scanned 5/31/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill gpt-researcher --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: gpt-researcher
description: Use this skill for comprehensive research tasks requiring deep investigation, multiple source validation, and citation-backed reports. Triggers on keywords like "research", "investigate", "deep dive", "comprehensive analysis", "literature review", or when needing validated, sourced information.
---
# GPT Researcher - Autonomous Deep Research
This skill enables autonomous deep research that explores and validates numerous sources, generating comprehensive reports with citations.
## Problem Solved
Standard web search tools:
- Return raw results requiring manual filtering
- Often contain irrelevant sources
- Waste context window space
- Require manual source validation
GPT Researcher:
- Autonomously explores hundreds of sources
- Validates and filters for relevance
- Generates structured reports with citations
- Focuses on trusted, up-to-date information
## When to Use
- Comprehensive research on any topic
- Market analysis and competitive research
- Technical deep dives
- Literature reviews
- Fact-checking and source validation
- Generating research reports
## Available Tools
### 1. deep_research
Performs thorough, comprehensive research on a topic.
```
Input: "AIエージェントフレームワークの2026年トレンド"
Output: 詳細な調査レポート(複数ソース、引用付き)
```
### 2. quick_search
Fast web search optimized for speed over comprehensiveness.
```
Input: "Next.js 15 release date"
Output: 簡潔な検索結果
```
### 3. write_report
Generates a structured report from research results.
### 4. get_research_sources
Retrieves the list of sources used in research.
### 5. get_research_context
Accesses the full context of completed research.
## Example Usage
### Comprehensive Research
```
User: AIコーディングエージェントの最新動向を調査して
AI: [Calls deep_research]
[Explores 50+ sources]
[Validates and filters relevant information]
[Generates report with citations]
Output:
# AIコーディングエージェント 2026年動向レポート
## エグゼクティブサマリー
...
## 主要プレイヤー分析
1. Claude Code [Source: Anthropic Blog]
2. Cursor [Source: TechCrunch]
3. Windsurf [Source: Verge]
...
## 引用
[1] https://...
[2] https://...
```
### Quick Fact Check
```
User: LangGraphの最新バージョンは?
AI: [Calls quick_search]
[Returns fast result]
```
### Market Research
```
User: 予測市場プラットフォームの競合分析をして
AI: [Calls deep_research with market analysis focus]
[Analyzes competitors]
[Compares features, pricing, market share]
[Generates competitive analysis report]
```
## Required Environment Variables
GPT Researcher requires these API keys:
| Variable | Description | Required |
|----------|-------------|----------|
| `OPENAI_API_KEY` | OpenAI API key for LLM | Yes |
| `TAVILY_API_KEY` | Tavily API key for web search | Yes |
## Setup
1. Set environment variables in your shell:
```bash
export OPENAI_API_KEY="your-key"
export TAVILY_API_KEY="your-key"
```
2. Or add to `.env` file in project root
## Research Quality
GPT Researcher outperforms other research tools:
| Tool | Citation Quality | Information Coverage |
|------|-----------------|---------------------|
| Perplexity | Medium | Medium |
| OpenAI Deep Research | High | High |
| **GPT Researcher** | **Highest** | **Highest** |
*Based on Carnegie Mellon University's DeepResearchGym benchmark (May 2025)*
## Best Practices
1. **Be specific with research queries**
```
❌ "AIについて調べて"
✅ "2026年のAIエージェントフレームワーク市場規模と主要プレイヤー"
```
2. **Use for substantial research tasks**
- Simple facts → Context7 or quick_search
- Deep investigation → deep_research
3. **Request specific output formats**
```
「競合分析レポートを表形式で作成して」
「SWOT分析を含めて」
```
4. **Combine with other tools**
- Context7 for documentation
- GPT Researcher for market/trend analysis
## Integration with TAISUN
GPT Researcher is automatically available via MCP. The system will:
1. Detect research-related queries
2. Select appropriate tool (deep_research or quick_search)
3. Validate and synthesize sources
4. Return comprehensive, cited results
## Source
- [GPT Researcher GitHub](https://github.com/assafelovic/gpt-researcher)
- [GPTR MCP Server](https://github.com/assafelovic/gptr-mcp)
- [Documentation](https://docs.gptr.dev/)
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