Gemini Deep Research

Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market rese…

arun-8687

@arun-8687

What This Skill Does

Executes multi-step research tasks using Gemini's Deep Research Agent. It breaks down complex queries, performs systematic web searches, and synthesizes findings into comprehensive markdown reports with streaming progress updates.

Replaces manual multi-source research and report writing by automating the entire process of query decomposition, web search, and synthesis into structured reports.

When to Use It

  • Research the history and evolution of a specific technology or product
  • Conduct a competitive landscape analysis of an industry sector
  • Synthesize market research findings from multiple web sources
  • Compare internal company reports against current public web news
  • Generate a structured report on a technical topic with custom output format

Install

$ openclaw skills install @arun-8687/gemini-deep-research

Gemini Deep Research

Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.

Prerequisites

  • GEMINI_API_KEY environment variable (from Google AI Studio)
  • Note: This does NOT work with Antigravity OAuth tokens. Requires a direct Gemini API key.

How It Works

Deep Research is an agent that:

  1. Breaks down complex queries into sub-questions
  2. Searches the web systematically
  3. Synthesizes findings into comprehensive reports
  4. Provides streaming progress updates

Usage

Basic Research

scripts/deep_research.py --query "Research the history of Google TPUs"

Custom Output Format

scripts/deep_research.py --query "Research the competitive landscape of EV batteries" \
  --format "1. Executive Summary\n2. Key Players (include data table)\n3. Supply Chain Risks"

With File Search (optional)

scripts/deep_research.py --query "Compare our 2025 fiscal year report against current public web news" \
  --file-search-store "fileSearchStores/my-store-name"

Stream Progress

scripts/deep_research.py --query "Your research topic" --stream

Output

The script saves results to timestamped files:

  • deep-research-YYYY-MM-DD-HH-MM-SS.md - Final report in markdown
  • deep-research-YYYY-MM-DD-HH-MM-SS.json - Full interaction metadata

API Details

  • Endpoint: https://generativelanguage.googleapis.com/v1beta/interactions
  • Agent: deep-research-pro-preview-12-2025
  • Auth: x-goog-api-key header (NOT OAuth Bearer token)

Limitations

  • Requires Gemini API key (get from Google AI Studio)
  • Does NOT work with Antigravity OAuth authentication
  • Long-running tasks (minutes to hours depending on complexity)
  • May incur API costs depending on your quota

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