What This Skill Does
Build applications with Google's Gemini models — text, image, audio, and video understanding in a single API. Covers SDK usage across Python, JavaScript/TypeScript, Java, and Go, plus function calling, structured outputs, and model selection.
When to Use It
- Building AI applications with Gemini models
- Working with multimodal content (text + images + audio + video)
- Implementing function calling or tool use with Gemini
- Generating structured JSON outputs from Gemini
- Choosing between Gemini model variants (Flash, Pro, Ultra)
Key Capabilities
Multimodal Input
Send text, images, audio files, and video to Gemini in a single request. The model processes all modalities natively.Function Calling
Define tools that Gemini can invoke, enabling it to interact with external APIs, databases, and services.Structured Output
Get JSON responses that conform to a schema you define — no parsing needed.SDK Support
Official SDKs for Python (google-genai), JavaScript/TypeScript (@google/genai), Java (com.google.genai), and Go (google.golang.org/genai).
Model Selection
- Gemini Flash — Fast, cost-effective for most tasks
- Gemini Pro — Balanced performance for complex reasoning
- Gemini Ultra — Maximum capability for the hardest problems
Best Practices
- Start with Flash and upgrade only if quality demands it
- Use structured outputs instead of parsing free-text responses
- Batch multimodal inputs when processing multiple files
- Set appropriate safety thresholds for your use case