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ai-tools

Integrate Gemini API, Gemini CLI, and NotebookLM into unified multimodal AI workflows.

Updated Feb 8, 2026
Search Tags:#automation#NotebookLM#multimodal#Gemini API#code-review#web-research#ai-tools
One-click install
npx skills add https://github.com/brixtonpham/claude-setup --skill ai-tools-brixtonpham
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-tools
Source: https://github.com/brixtonpham/claude-setup/tree/main/hub/skills/ai-tools
Command: npx skills add https://github.com/brixtonpham/claude-setup --skill ai-tools-brixtonpham

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, python-dotenv.

What problem does it solve?

This Skill consolidates Google's Gemini API, Gemini CLI, and NotebookLM into a single, cohesive workflow to streamline multimodal AI tasks across media processing, web research, and knowledge extraction.

Core Features & Use Cases

  • Unified access to Gemini API, Gemini CLI, and NotebookLM for streamlined AI workflows
  • Supports media processing, web research, code review, document Q&A, and memory-driven knowledge extraction
  • Real-world scenario: orchestrate a video analysis task, ground it with a live web search, and perform a follow-up code review in one integrated run

Quick Start

Install dependencies from scripts/requirements.txt, set GEMINI_API_KEY in your environment, and run a sample command such as: python scripts/run.py ask_question.py --question "Explain the latest Gemini features." python scripts/run.py notebook_manager.py add --url "https://notebooklm.google.com/notebook/..." --name "Shared notebook" --description "Shared notes" --topics "ai,ml"

Frequently Asked Questions about ai-tools

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

FAQPage Schema
How do I integrate the Gemini API and NotebookLM into a single workflow for multimodal tasks?▼

You can integrate the Gemini API and NotebookLM into a single workflow for multimodal tasks by using a unified Python environment wrapper that orchestrates media processing, web research, and document Q&A across both platforms.

What is the best way to automate code review and web research using Google AI tools?▼

The best way to automate code review and web research using Google AI tools is to run an integrated Python script that leverages the Gemini API to sequentially execute analysis and information retrieval within one automated process.

Do I need a specific API key and Python environment to run Gemini CLI automation scripts?▼

Yes, you need a specific GEMINI_API_KEY and a Python environment configured with the google-genai and python-dotenv dependencies to run Gemini CLI automation scripts and manage on-demand resources.

Can I perform document Q&A and memory-driven knowledge extraction directly from NotebookLM URLs?▼

Yes, you can perform document Q&A and memory-driven knowledge extraction directly from NotebookLM URLs by passing the links to a notebook manager script that adds the sources for automated AI querying.

How does multimodal AI media processing work when combined with a live web search?▼

Multimodal AI media processing combined with a live web search works by orchestrating a Gemini API task that analyzes media, grounds the results with real-time internet search data, and outputs synthesized knowledge.

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