npx skills add majiayu000/claude-skill-registry --skill gemini-g1joshi-agent-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 - [Gemini API Documentation](https://ai.google.dev/)
- When to Use
- Core Concepts
- Models
- Grounding
- Context Initial Caching
- Best Practices (2025)
- References
What does the gemini skill do?
Google Gemini AI models for multimodal tasks. Use for multimodal AI.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-g1joshi-agent-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.