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.
npx skills add https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-api-devUse 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.
This repo contains 3 individual skills — each has its own dedicated page.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), native audio features, function calling, session management, ephemeral tokens for client-side auth, live translation, and all Live API configuration options. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).
Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
Organic social media growth coach using the Post Bridge methodology (500M+ views, 132K+ downloads, $33K+ revenue). Act as a personalized growth coach for apps, products, and businesses seeking organic traffic from TikTok and Instagram short-form video. Use when users ask about growing on TikTok/Instagram, creating viral content, getting more views organically, converting social media views to app downloads or customers, warming up new social accounts, finding winning content formats, or scaling organic social media presence. Also use when users need help with social media bios, content-market fit, trend riding, or building a repeatable content system without paid ads.
Pre-Flight: Multi-agent AI system that simulates audience reactions to short-form video clips before publishing — built on Google ADK, Gemini 2.5 Flash, BigQuery MCP, and FFmpeg.wasm
Download videos and images from Pinterest
Claude Code skill: build a single-screen, animation-rich HTML infographic for any technical concept
Claude Code skill for Avito Реклама public API — DSP cabinet (CPM/CPC banners, HTML, video) with read access, group budget/price control, multi-account transfers, and ORD advertiser/contract setup. OAuth client_credentials + sandbox-first.
Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.