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deep-research

Perform context-aware research using the Google Gemini Interactions API.

Updated Mar 10, 2026
Search Tags:#research#rag#ai agent#data analysis#gemini#knowledge discovery
One-click install
npx skills add https://github.com/darblex/price-compare-israel --skill deep-research-darblex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/darblex/price-compare-israel/tree/main/workspace/skills/agent-deep-research
Command: npx skills add https://github.com/darblex/price-compare-israel --skill deep-research-darblex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, rich, markdown, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers AI agents to conduct in-depth research on any topic, synthesize complex information, and ground findings in local documents, overcoming the limitations of simple web searches.

Core Features & Use Cases

  • Deep Research: Perform comprehensive analysis on complex subjects, generating detailed reports.
  • RAG-Grounded Queries: Integrate local files and documents to provide context-aware research.
  • Use Case: An AI agent needs to understand the security architecture of a project. It uses this Skill to analyze the codebase (--context ./src), estimate research costs (--dry-run), and then perform a deep dive, saving the findings to report.md.

Quick Start

Use the deep research skill to analyze the security architecture of the codebase.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I use RAG to ground AI research in local files?▼

RAG-grounded queries integrate local files into AI research by passing the directory path via the context flag. This allows the agent to perform context-aware analysis and synthesize findings using your specific local documents.

What is deep research and how does it differ from a simple web search?▼

Deep research enables AI agents to conduct comprehensive analysis on complex subjects and generate detailed reports. It overcomes simple web search limitations by synthesizing complex information and grounding findings in local documents for context-aware results.

Can I estimate API costs before running a Gemini research query?▼

Yes, you can estimate API costs before running a Gemini research query by using the dry-run flag. This calculates the expected research expenses without executing the full analysis.

Does this deep research skill work with local codebases for security analysis?▼

Yes, the deep research skill works with local codebases for security analysis by targeting the source directory. It analyzes the codebase context and saves the synthesized findings to a markdown report file.

How do I integrate AI agents with the Google Gemini Interactions API?▼

You integrate AI agents with the Google Gemini Interactions API by leveraging the google-genai dependency. This enables advanced context-aware research and RAG-grounded queries across over 30 AI coding agents.

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