deep-research

Plan, search, and synthesize web information into structured markdown reports.

Updated Dec 29, 2025

Search Tags:#automation #research #analysis #reporting #synthesis #gemini

Ready to run

npx skills add https://github.com/AmidVoshakul/chatorai --skill deep-research-amidvoshakul

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/AmidVoshakul/chatorai/tree/main/assets/skills/deep-research
Command: npx skills add https://github.com/AmidVoshakul/chatorai --skill deep-research-amidvoshakul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) components.

What problem does it solve?

This skill solves the time-consuming challenge of gathering, reading, and synthesizing vast amounts of information from the web into structured, actionable reports.

Core Features & Use Cases

Autonomous Planning: Automatically breaks down complex queries into research steps.
Comprehensive Synthesis: Compiles findings into structured markdown reports, tables, or summaries.
Use Case: Use this skill to conduct competitive landscaping or technical literature reviews by providing a topic, and it will return a detailed, cited report.

Quick Start

Use the deep-research skill to research the current state of the EV battery market and provide a summary report.

Frequently Asked Questions about deep-research

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

FAQPage Schema

How do I automate web research and synthesize findings into a structured report?▼

You can automate web research by providing a topic to this skill, which plans research steps, searches the web, and synthesizes findings into structured markdown reports, tables, or summaries with citations.

What is autonomous research synthesis and how does it handle complex queries?▼

Autonomous research synthesis automatically breaks down complex queries into sequential research steps, gathers information from the web, and compiles findings into comprehensive, cited markdown reports.

Do I need a Python environment and Gemini API key to run autonomous research tasks?▼

Yes, executing autonomous research tasks requires Python 3.8+, the httpx library, and a valid Gemini API key to process queries and synthesize information.

Can I use this for market analysis and technical literature reviews?▼

Yes, this skill supports market analysis, technical literature reviews, and comparative product research by automatically gathering and structuring information into detailed reports.

What is the best way to conduct competitive landscaping and compile cited summaries?▼

The best way to conduct competitive landscaping is using an autonomous synthesis engine that gathers web data and compiles findings into structured, cited markdown summaries.

What are the limitations of using an autonomous research engine for report generation?▼

Limitations include dependency on external web sources for accuracy and the strict requirement of Python 3.8+, the httpx library, and a Gemini API key for successful execution.