gemini-live-api-dev 是做什么的？
使用此技能构建基于 Gemini Live API 的实时双向流媒体应用程序。涵盖 WebSocket 音频/视频/文本流、语音活动检测 (VAD)、原生音频功能、函数调用、会话管理、客户端身份验证的临时令牌、实时翻译以及所有 Live API 配置选项。支持的 SDK 包括 google-genai (Python) 和 @google/genai (JavaScript/TypeScript)。
使用此技能构建基于 Gemini Live API 的实时双向流媒体应用程序。涵盖 WebSocket 音频/视频/文本流、语音活动检测 (VAD)、原生音频功能、函数调用、会话管理、客户端身份验证的临时令牌、实时翻译以及所有 Live API 配置选项。
此技能（google-gemini/gemini-live-api-dev）专为使用 Gemini Live API 构建实时双向流媒体应用的开发者设计。它全面覆盖了 WebSocket 音频/视频/文本流、语音活动检测（VAD）、原生音频功能、函数调用、会话管理、客户端认证临时令牌、实时翻译以及所有 Live API 配置选项。技能文档提供了详细的指南和示例，帮助开发者快速上手并集成这些功能。支持的 SDK 包括 google-genai（Python）和 @google/genai（JavaScript/TypeScript），确保了跨平台开发的便利性。通过此技能，开发者能够高效地构建交互式语音助手、实时翻译服务和其他需要低延迟双向通信的应用程序。
npx skills add https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-live-api-dev使用此技能构建基于 Gemini Live API 的实时双向流媒体应用程序。涵盖 WebSocket 音频/视频/文本流、语音活动检测 (VAD)、原生音频功能、函数调用、会话管理、客户端身份验证的临时令牌、实时翻译以及所有 Live API 配置选项。支持的 SDK 包括 google-genai (Python) 和 @google/genai (JavaScript/TypeScript)。
This repo contains 4 individual skills — each has its own dedicated page.
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.
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 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.