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Gemini

Skill G1Joshi/Agent-Skills/skills/ai-ml/gemini

Google Gemini AI models for multimodal tasks. Use for multimodal AI.From its SKILL.md

Install
npx -y skills add G1Joshi/Agent-Skills --skill gemini

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.3 KB, 300 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.