deep-research

Conduct systematic multi-angle web research with iterative refinement.

34|4|Updated Mar 25, 2026

Search Tags:#research #content generation #AI-driven #systematic methodology #web information

Ready to run

npx skills add https://github.com/darknetopencv-alt/autodev --skill deep-research-darknetopencv-alt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/darknetopencv-alt/autodev/tree/main/src/autodev/skills/deep-research
Command: npx skills add https://github.com/darknetopencv-alt/autodev --skill deep-research-darknetopencv-alt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for in-depth, multi-angle research before generating content, ensuring the quality and accuracy of AI-driven outputs.

Core Features & Use Cases

Systematic Research Methodology: Offers a structured approach to research, covering broad exploration, deep dives, diversity in information types, and synthesis checks.
Research Questions & Content Generation: Tailored for users seeking comprehensive information on a topic before generating content like articles, reports, or presentations.
Use Case: For instance, when planning to write an article on the impact of AI in healthcare, this Skill helps gather and verify a wide range of data, examples, and expert opinions.

Quick Start

To begin, load the deep-research skill before starting your content generation task.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I gather comprehensive web information before generating AI content?▼

To gather comprehensive web information before generating AI content, you need a systematic research methodology that performs multi-angle exploration and iterative refinement, ensuring high accuracy and depth for your outputs.

What is the best way to structure systematic research for AI-driven articles?▼

The best way to structure systematic research for AI-driven articles is to apply a methodology covering broad exploration, deep dives, diverse information types, and synthesis checks to verify gathered data and expert opinions.

How does multi-angle exploration improve AI content generation?▼

Multi-angle exploration improves AI content generation by sourcing diverse information types and verifying a wide range of data, which directly enhances the accuracy, comprehensiveness, and depth of the final output.

Can I use systematic research methodology for in-depth reports on complex topics?▼

Yes, you can use a systematic research methodology for in-depth reports on complex topics. It is tailored for users requiring comprehensive information gathering before generating detailed content like articles or presentations.

Do I need to load a specific skill before starting content generation?▼

Yes, you need to load the deep-research skill before starting your content generation task. This ensures the systematic research methodology is applied to gather and verify information beforehand.