Can I integrate private data sources with this skill?

Yes, the skill provides guidance on using the Model Context Protocol (MCP) and creating custom retrievers for internal or local data environments.

How does this Claude Code skill help developers?

It provides domain-specific patterns for extending the framework, such as adding new retrievers, configuring LLM providers, and troubleshooting complex research pipelines.

What is the primary purpose of GPT Researcher?

GPT Researcher is an autonomous agent that conducts deep research on any topic by aggregating data from web and local sources into detailed, cited reports.

Does it support different research report formats?

Yes, it covers configurations for multiple report types including research_report, detailed_report, deep research, and outline formats.

How do I handle WebSocket streaming for real-time updates?

The skill includes patterns for implementing WebSocket handlers to stream research logs and progress updates directly to a frontend.

GPT Researcher Development

Name: GPT Researcher Development
Author: assafelovic

byassafelovic

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25,430

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Data Science & ML

Empowers developers to build, customize, and integrate autonomous AI research agents using the GPT Researcher framework.

This skill provides specialized guidance for working with the GPT Researcher framework, an autonomous agent designed for comprehensive online and local data research. It assists developers in navigating the core architecture—including the planner-executor-publisher pattern—customizing research workflows, implementing new retrievers, and integrating Model Context Protocol (MCP) data sources. Whether you are debugging research pipelines, adding new LLM providers, or extending the Next.js frontend, this skill offers the implementation patterns and best practices needed to scale deep research capabilities within your applications.

Key Features

0125,430 GitHub stars

02Integration support for Model Context Protocol (MCP) and WebSocket streaming

03Step-by-step guidance for adding new research features and LLM providers

04Configuration management for deep research and multi-agent workflows

05Standardized patterns for creating and registering custom search retrievers

06Architecture navigation for the planner-executor-publisher pattern

Use Cases

01Extending the framework with new data sources via MCP or custom scrapers

02Integrating deep research capabilities into existing Python or Next.js applications

03Building a custom autonomous research agent for niche domain-specific data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add assafelovic/gpt-researcher .claude

For use in Claude.ai and ChatGPT

Download Skill