deep-research

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Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search, file/directory context, and resilient streaming.

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Sourcecnemri/google-genai-skills
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NPX Install

npx skill4agent add cnemri/google-genai-skills deep-research

Tags

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gemini-research-agentinteractions-apiautonomous-researchrag-integrationresearch-automation

SKILL.md Content

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Deep Research

Use this skill to conduct deep, autonomous research tasks that require planning, searching, reading, and synthesizing information.
This skill uses the Gemini Deep Research Agent (
deep-research-pro-preview-12-2025
) via the Interactions API.

Prerequisites

  • GOOGLE_API_KEY
    : Required for accessing the Interactions API (currently in Preview via AI Studio).
  • google-genai
    SDK v0.3.0+

Usage

Basic Research

Start a research task and stream the results to the console.
bash
uv run skills/deep-research/scripts/research.py "Research the history of RISC-V architecture."

Research with Context (Files or Directories)

Provide local files (PDFs, text) or entire directories for the agent to read and incorporate into its research.
Direct Upload (Best for specific docs):
bash
# Single file
uv run skills/deep-research/scripts/research.py "Analyze this report" --file report.pdf

# Entire directory
uv run skills/deep-research/scripts/research.py "Summarize these meeting notes" --file ./notes/
File Search Store (Best for large corpora): Use 
--use-file-store
to index files into a searchable store (RAG) instead of uploading them into the context window.
bash
uv run skills/deep-research/scripts/research.py "Find trends in these 1000 PDFs" --file ./large_corpus/ --use-file-store

Saving the Report

Save the final Markdown report to a file.
bash
uv run skills/deep-research/scripts/research.py "Competitive landscape of EV batteries" --output report.md

Continuing Research (Follow-up)

Ask follow-up questions to an existing research session using the 
Interaction ID
(displayed at the start of the previous run).
bash
uv run skills/deep-research/scripts/research.py "Elaborate on the second point about lithium supply." --follow-up "INTERACTION_ID_HERE"

References

  • Online Documentation

How it Works

  1. Planning: The agent breaks down your prompt into steps.
  2. Execution: It autonomously searches the web and reads your provided files.
  3. Resilience: The script automatically reconnects if the long-running stream drops.
  4. Synthesis: It produces a comprehensive, cited report.