gemini-api-dev
Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Py…
What it does
- gemini-3.6-flash: 1M tokens, fast, balanced performance for agentic and multimodal tasks
- gemini-3.5-flash-lite: 1M tokens, fastest, lowest-cost 3.5 model for high-throughput execution
- gemini-3.1-pro-preview: 1M tokens, complex reasoning, coding, research
- gemini-3-pro-image-preview (Nano Banana Pro): 65k / 32k tokens, image generation and editing
- gemini-3.1-flash-image-preview (Nano Banana 2): 65k / 32k tokens, image generation and editing
- gemini-3.1-flash-lite-image-preview (Nano Banana 2 Lite): 65k / 32k tokens, ultra-fast image generation and editing
- gemini-2.5-pro: 1M tokens, complex reasoning, coding, research
Requirements & configuration
- When MCP tools are present, never fetch URLs manually. MCP provides up-to-date, indexed documentation that is more accurate and token-efficient than URL fetching.
Derived from the skill's own SKILL.md documentation · extracted 2026-07-23
Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Python, JavaScript, Go, and Java.
Source
Repository: https://github.com/google-gemini/gemini-skills
gemini-api-dev FAQ
What does the gemini-api-dev skill do?
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities. gemini-3.6-flash: 1M tokens, fast, balanced performance for agentic and multimodal tasks gemini-3.5-flash-lite: 1M tokens, fastest, lowest-cost 3.5 model for high-throughput execution
What does gemini-api-dev require?
When MCP tools are present, never fetch URLs manually. MCP provides up-to-date, indexed documentation that is more accurate and token-efficient than URL fetching.
How do I install gemini-api-dev?
Run: npx -y skills add https://github.com/google-gemini/gemini-skills --skill gemini-api-dev --agent claude-code — the source lives at github.com/google-gemini/gemini-skills.
Maintain gemini-api-dev?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/skills/google-gemini-gemini-skills-gemini-api-dev?ref=badge) npx agentictools info skills/google-gemini-gemini-skills-gemini-api-dev The second line is the CLI lookup for this page — handy in READMEs and docs.
