gemini-deep-research

Automate policy research via Gemini Deep Research API with citations.

2|1|Updated May 11, 2025
One-click install
npx skills add https://github.com/yudame/research --skill gemini-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-deep-research
Source: https://github.com/yudame/research/tree/main/.claude/skills/gemini-deep-research
Command: npx skills add https://github.com/yudame/research --skill gemini-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually conducting in-depth research on complex policy, regulatory frameworks, and strategic documents is a time-consuming process that requires careful analysis and synthesis. This skill automates Google's Gemini Deep Research API to quickly generate comprehensive reports specifically focused on these critical areas.

Core Features & Use Cases

  • API Automation: Programmatically interacts with Google's Gemini Deep Research API, ensuring stable and reliable research without browser automation.
  • Policy & Regulatory Focus: Specialized in analyzing government policy documents, legislation, strategic plans, and comparative policy analysis across jurisdictions.
  • Asynchronous Polling: Submits research requests and intelligently polls for completion (typically 3-10 minutes), providing status updates.
  • Structured Output: Returns comprehensive research reports with inline citations and source links, ready for direct integration into analysis.
  • Use Case: Rapidly analyze the regulatory landscape for telecommunications in the Solomon Islands, extracting key legislation, policy documents, and strategic plans to inform a podcast episode on market structure and competitive dynamics.

Quick Start

Use the gemini-deep-research skill to research "the impact of recent EU AI Act regulations on data privacy in financial services."

Frequently Asked Questions about gemini-deep-research

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

FAQPage Schema
How do I automate deep research for policy analysis using Gemini's API?

Gemini Deep Research API automates comprehensive policy research by submitting queries, conducting multi-source web searches, and polling asynchronously for results. It handles regulatory frameworks, legislation, and strategic documents, returning structured reports with inline citations and source links ready for integration into your analysis.

Can I use Gemini Deep Research API to analyze regulatory frameworks across multiple jurisdictions?

Yes. The skill specializes in cross-jurisdiction policy comparison, extracting key legislation, strategic plans, and government documents. It automates the synthesis of comparative regulatory analysis, making it ideal for landscape assessments across different regions or sectors.

What's required to set up Gemini Deep Research API automation?

You need a configured Google Gemini API key, Python tooling, episode prompts for research queries, and polling parameters (intervals and maximum wait times). The skill handles the API submission, asynchronous polling, and result extraction with no browser automation required.

How long does Gemini Deep Research typically take to complete?

Research requests typically complete within 3-10 minutes. The skill manages asynchronous polling intelligently, providing status updates while you wait, eliminating manual checking or browser-based submission workflows.

Does Gemini Deep Research work for telecommunications policy and market structure analysis?

Yes. The skill is optimized for telecommunications legislation, market structure assessments, and competitive dynamics analysis. It extracts regulatory landscapes, key policies, and strategic documents specifically suited to telecom sector research and podcast episode preparation.

What output format does Gemini Deep Research provide?

The skill returns ready-to-paste research reports with structured formatting, inline citations, and source links. Output is formatted for direct integration into analysis documents, eliminating manual reformatting or citation extraction.