ジェミニAPIとジェマ4を含むGemini APIホストモデルを使用したアプリケーション開発、マルチモーダルコンテンツ（テキスト、画像、音声、動画）の処理、関数呼び出しの実装、構造化出力の利用、最新のモデル仕様の確認に使用します。SDKの使用方法（Python用google-genai、JavaScript/TypeScript用@google/genai、Java用com.google.genai:google-genai、Go用google.golang.org/genai）、モデル選択、API機能をカバーします。
このスキルは、Gemini APIおよびGemma 4を含むGoogleのジェミニモデルをホストするアプリケーションを構築する際に必要な、包括的な開発ガイドです。テキスト、画像、音声、動画を扱うマルチモーダル機能、関数呼び出し、構造化出力の実装方法を詳しく説明します。Python、JavaScript/TypeScript、Java、Go向けの公式SDK（それぞれgoogle-genai、@google/genai、com.google.genai:google-genai、google.golang.org/genai）の使用方法をプラットフォーム横断的に網羅し、モデル選択ガイダンスやAPIの最新仕様を提供します。Claude Code、Cursor、CodexなどのAIエージェント環境で活用でき、Gemini APIの高度な機能を最大限に活用してアプリケーションを効率的に開発するための実践的なナレッジベースとして機能します。
npx skills add https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-api-devこのスキルは、Gemini APIホストモデル（GeminiおよびGemma 4を含む）を使用したアプリケーションを構築する際、マルチモーダルコンテンツ（テキスト、画像、音声、動画）の処理、関数呼び出しの実装、構造化出力の利用、または最新のモデル仕様が必要な場合に使用します。SDKの使用方法（Python用google-genai、JavaScript/TypeScript用@google/genai、Java用com.google.genai:google-genai、Go用google.golang.org/genai）、モデル選択、API機能をカバーします。
This repo contains 4 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).
Use this skill for generative video editing, text-to-video, image-referenced video generation, first-frame-to-video, first-and-last-frame transitions, and video extensions using Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) via the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg, stripping audio for full sound regeneration, and handling turn-by-turn video editing and parallel execution.
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.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.