gpt-researcher

Generates cited research reports by autonomously exploring and validating web sources.

Updated Mar 23, 2026
One-click install
npx skills add https://github.com/sakamotomomotaro0809-netizen/tateyomi --skill gpt-researcher-sakamotomomotaro0809-netizen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gpt-researcher
Source: https://github.com/sakamotomomotaro0809-netizen/tateyomi/tree/main/taisun_agent/.claude/skills/gpt-researcher
Command: npx skills add https://github.com/sakamotomomotaro0809-netizen/tateyomi --skill gpt-researcher-sakamotomomotaro0809-netizen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Standard web search returns raw, unfiltered results that waste context window space and require manual source validation. This Skill autonomously explores hundreds of sources, filters them for relevance, and produces structured research reports with citations. ## Core Features & Use Cases - Deep Research: Explores 50+ sources on a topic, validates relevance, and generates a comprehensive report with citations. - Quick Search: Runs fast web searches optimized for speed when a simple fact check is needed. - Report Generation & Source Retrieval: Produces structured reports and exposes the full source list and research context. - Use Case: Ask for a competitive analysis of prediction market platforms, and the Skill analyzes competitors, compares features and pricing, and outputs a cited competitive analysis report. ## Quick Start Ask the AI to research the latest trends in AI coding agents and produce a report with cited sources.

Frequently Asked Questions about gpt-researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run deep research with cited sources?▼

Call the deep_research tool with a specific research query. It autonomously explores 50+ sources, validates and filters them for relevance, and returns a structured report with citations.

What is the difference between deep_research and quick_search?▼

deep_research performs comprehensive multi-source investigation with validation and citations, while quick_search is optimized for speed and returns concise results for simple fact checks.

What API keys does GPT Researcher require?▼

It requires OPENAI_API_KEY for the LLM and TAVILY_API_KEY for web search. Set them as environment variables in your shell or in a .env file in the project root.

Can GPT Researcher integrate with other research workflows?▼

Yes, it integrates via MCP and with the world-research skill, where deep mode combines cross-platform SNS search with deep_research across 50+ sources for a unified report.

When should I not use deep research?▼

Avoid it for simple factual lookups, which are better served by quick_search or documentation tools. Deep research is intended for substantial investigations requiring many validated sources.