gemini
Google Gemini AI models for multimodal tasks. Use for multimodal AI.
Install
npx skillscat add g1joshi/agent-skills/gemini Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action, natural prose, no bullet points, headings, markdown. At most 60 words. Must be only the summary text, no quotes. Provide only the summary. Let's craft about 3 sentences, maybe 2-3 sentences. Must be plain text, no formatting. Let's count words. Aim for ~45 words. Possible summary: "The gemini skill provides access to Google Gemini AI models that can process video, large text contexts, and multimodal inputs.
Gemini
Gemini is Google's native multimodal model. Uniquely, it accepts video and huge context (2M+ tokens) natively. 2025 sees Gemini 2.0/3.0.
When to Use
- Massive Context: "Here is a 1-hour video. Find the timestamp where..."
- Multimodal Live: Real-time voice/video interaction.
- Google Ecosystem: Integrated with Vertex AI, Search (Grounding), and Workspace.
Core Concepts
Models
- Pro: The best all-rounder.
- Flash: Extremely fast and cheap. High throughput.
- Ultra: The largest reasoning model.
Grounding
Connects the model to Google Search to provide citations and up-to-date info.
Context Initial Caching
Cache the context (e.g., a massive manual) to reduce cost/latency on subsequent queries.
Best Practices (2025)
Do:
- Use Flash for RAG: 2.0 Flash is smart enough for most RAG & cheaper/faster.
- Use Grounding: Eliminate hallucinations by enforcing "Google Search" grounding.
- Upload Video: Don't transcribe video manually; Gemini watches it.
Don't:
- Don't confuse with PaLM: Gemini replaced PaLM 2 completely.
References
Categories
Install
npx skillscat add g1joshi/agent-skills/gemini Install via the SkillsCat registry.