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cnemri/google-genai-skills103 installs

deep-research

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

How do I install this agent skill?

npx skills add https://github.com/cnemri/google-genai-skills --skill deep-research
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides a research tool using the Gemini Deep Research API. It handles file uploads and API keys securely, with no malicious patterns detected.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

  • Runlayerwarn

    3/3 files flagged

What does this agent skill do?

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.

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):

# 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.

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.

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).

uv run skills/deep-research/scripts/research.py "Elaborate on the second point about lithium supply." --follow-up "INTERACTION_ID_HERE"

References

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.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/cnemri/google-genai-skills/deep-research">View deep-research on skillZs</a>