gemini-flow
Google Gemini API integration and model orchestration
npx skills add majiayu000/claude-skill-registry --skill gemini-flow --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 Flow Skill ## Overview Google Gemini API integration. 90%+ context savings. ## Requirements - GOOGLE_API_KEY environment variable - gemini-pro or gemini-pro-vision model access ## Tools (Progressive Disclosure) ### Generation | Tool | Description | | -------- | ----------------------- | | generate | Generate text content | | chat | Multi-turn conversation | | embed | Generate embeddings | ### Vision | Tool | Description | | -------------- | --------------------- | | analyze-image | Analyze image content | | describe-image | Describe image | ### Models | Tool | Description | | ----------- | ---------------------- | | list-models | List available models | | model-info | Get model capabilities | ## Agent Integration - **llm-architect** (primary): Model orchestration - **model-orchestrator** (primary): Multi-model routing - **developer** (secondary): API integration
- Overview
- Requirements
- Tools (Progressive Disclosure)
- Generation
- Vision
- Models
- Agent Integration
What does the gemini-flow skill do?
Google Gemini API integration and model orchestration
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-flow --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.