Gemini API Dev — model skill for tools & renderers

For AI agents: find the right skill in one call — curl -s "https://skills.varg.ai/api/search?q=<what the person wants>" returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the use-case page.

Write current Gemini API code, including Nano Banana image generation, Omni video and Gemini TTS.

What it does

Google's skill for writing code against the Gemini API in Python and TypeScript with current models and SDKs. Beyond text, chat and agents, it names the media models to use — Nano Banana 2.1 and Nano Banana Pro for image generation and editing, Gemini 3.8 Flash TTS for speech and voice design, Omni 1.1 Flash for video — and carries migration notes for each.

Use when

Not for

Install

Models it drives: nano_banana_2_1, nano_banana_pro, gemini_3_8_flash_tts, omni_flash_1_1

Example output

https://skills.varg.ai/previews/gemini-api-dev.webp — Nano Banana output from the Gemini API image-generation docs (the API the skill writes code for): a banana-shaped perfume bottle product shot (credit: Google, https://ai.google.dev/gemini-api/docs/image-generation)

More tools & renderers skills

Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.