gpt-researcher

What problem does it solve?

Traditional deep research is often limited by single-agent capabilities, slow, and can be costly or reliant on fragile browser automation. This skill provides a robust, local, multi-agent framework for comprehensive, parallel research using advanced LLMs, replacing deprecated browser-based solutions.

Core Features & Use Cases

• Multi-Agent Framework: Runs GPT-Researcher locally, enabling parallel information gathering from 100+ sources for faster, more thorough results.
• Advanced LLM Integration: Leverages OpenAI GPT-5.2 (or other providers like Claude Opus) for superior reasoning, synthesis, and instruction following.
• Comprehensive Citations: Provides detailed inline citations and a full list of sources, ensuring research quality and verifiability.
• Flexible Report Types: Supports various report formats (standard, detailed, quick) to match different research needs and time constraints.
• Use Case: Conduct a comprehensive industry and technical research report on a complex topic, synthesizing information from 100+ sources using GPT-5.2, replacing the deprecated ChatGPT browser automation for a more reliable and controlled workflow.

Quick Start

Use the gpt-researcher skill to generate a detailed report on "the future of sustainable urban planning, focusing on smart infrastructure and renewable energy integration."