| 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
-
Set environment variables in your shell:
export OPENAI_API_KEY="your-key"
export TAVILY_API_KEY="your-key"
-
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
-
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"
-
Use for substantial research tasks
- Simple facts → Context7 or quick_search
- Deep investigation → deep_research
-
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」
-
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:
- Detect research-related queries
- Select appropriate tool (deep_research or quick_search)
- Validate and synthesize sources
- Return comprehensive, cited results
Source
