gemini-skills 是做什麼的？
使用此技能進行生成式影片編輯、文字轉影片、以圖片為參考的影片生成、首幀轉影片、首尾幀轉換以及影片延伸，皆透過 Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) 與官方 google-genai SDK 實現。包含使用 ffmpeg 預處理/優化高解析度或長影片、移除音軌以進行完整聲音重新生成，以及處理逐步影片編輯與並行執行的工作流程。
使用此技能進行生成式影片編輯、文字轉影片、以圖片為參考的影片生成、首幀轉影片、首尾幀轉換以及影片延伸，皆透過 Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) 與官方 google-genai SDK 實現。包含使用 ffmpeg 預處理/優化高解析度或長影片、移除音軌以進行完整聲音重新生成，以及處理逐步影片編輯與並行執行的工作流程。
這是一個專為透過 Google Gemini 模型進行生成式影片編輯與生成而設計的技能。它支援廣泛的影片操作，包括文字轉影片、以圖片為參考的影片生成、從單一幀生成影片，以及根據首尾幀創建流暢轉場。該技能利用 Gemini Omni 1.1 Flash 模型（透過官方 google-genai SDK 存取）來實現這些功能。它還包含實用的工作流程，例如使用 ffmpeg 預處理高解析度或冗長的原始影片、移除音軌以進行聲音重新合成，以及實現逐輪影片編輯和並行任務執行。此技能主要針對 AI 代理（例如 Claude Code）設計，可安裝於支援的平台上，透過整合 Google 最先進的生成式 AI 模型，顯著簡化複雜影片內容的創作與編輯流程。
npx skills add https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-omni-flash-api使用此技能進行生成式影片編輯、文字轉影片、以圖片為參考的影片生成、首幀轉影片、首尾幀轉換以及影片延伸，皆透過 Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) 與官方 google-genai SDK 實現。包含使用 ffmpeg 預處理/優化高解析度或長影片、移除音軌以進行完整聲音重新生成，以及處理逐步影片編輯與並行執行的工作流程。
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 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.
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.