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gemini-deep-researchlisted

Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
VisionaireLabs/Visionaire · ★ 2 · AI & Automation · score 69
Install: claude install-skill VisionaireLabs/Visionaire
# 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 ```bash scripts/deep_research.py --query "Research the history of Google TPUs" ``` ### Custom Output Format ```bash 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) ```bash 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 ```bash 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-p