Gemini API
Best practices for Gemini-powered apps
- Version
- 1.0.0
- License
- MIT
- Triggers
- building a Gemini-powered app; using Gemini function calling…
17 skills
Skills that teach an OpenCode agent how to work with models, embeddings, prompts, and inference pipelines — the practical mechanics of shipping AI features rather than training theory.
Free, MIT licensed, and ready to install
Best practices for Gemini-powered apps
Gemini on Google Cloud with Gen AI SDK
Real-time bidirectional streaming
Hub operations and model management
Train with TRL: SFT, DPO, GRPO
Evaluate models with vLLM and lighteval
Build and deploy Gradio interfaces
Discover and run AI models via API
Advanced prompt engineering techniques
Create and manage datasets on the Hub
Track ML experiments with TrackIO
Train computer vision models
AI model API for chat, image, audio, video
Run ML models in the browser
Publish papers on Hugging Face Hub
Build autonomous AI agents
Build Model Context Protocol servers