Interact with Google Gemini models and NotebookLM via command line.
npx skills add https://github.com/Geralt1983/Thanos --skill gemini-geralt1983
Please help me install this Agent Skill. Skill: gemini Source: https://github.com/Geralt1983/Thanos/tree/main/Skills/gemini Command: npx skills add https://github.com/Geralt1983/Thanos --skill gemini-geralt1983
This Skill provides a unified interface for leveraging Google Gemini's advanced AI capabilities for web searches, content generation, and in-depth research through NotebookLM, eliminating the need for separate tools or API keys.
Use the gemini skill to search the web for "latest AI research papers".
High-intent search queries and answers about installing and using this skill.
You can use Google Gemini for web search and content generation without API keys by utilizing an interface that relies directly on authenticated Google accounts for access. This eliminates the need for separate authentication credentials.
Yes, you can use NotebookLM to synthesize research by adding relevant web pages as sources and then asking specific questions about them. This allows you to thoroughly synthesize information from multiple sources for deep research.
You can get JSON output from Gemini models for scripting by using the command-line interface's one-shot Q&A mode. This mode supports generating structured JSON output specifically designed to be consumed by automated scripts.
Yes, the Gemini command-line interface supports interactive sessions alongside one-shot Q&A and JSON output modes. This allows users to maintain continuous dialogue for complex content generation and research tasks.
The best way to research a complex topic using Google Gemini is by leveraging NotebookLM to add and query relevant web pages as sources. This approach synthesizes information from multiple sources for thorough deep research synthesis.
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nelohenriqSearch the web via DuckDuckGo using Python DDGS or CLI without API keys.
