gemini-skills 是做什么的？
使用此技能可基于 Gemini Omni 1.1 Flash（gemini-omni-1.1-flash）模型进行生成式视频编辑、文本转视频、图像参考视频生成、首帧转视频、首尾帧过渡以及视频扩展，这一切均通过官方 google-genai SDK 实现。技能包含了使用 ffmpeg 预处理/优化高分辨率或长源视频的工作流、为完整声音再生而提取音频，以及处理逐步视频编辑和并行执行的能力。
使用此技能可基于 Gemini Omni 1.1 Flash 模型进行生成式视频编辑、文本转视频、图像参考视频生成、首帧转视频、首尾帧过渡以及视频扩展。
该技能专为 AI 代理（如 Claude Code、Cursor、Codex）设计，使其能够通过 Gemini Omni 1.1 Flash 模型执行高级视频生成与编辑任务。它基于官方 google-genai SDK 构建，支持多种工作流：文本转视频、图像引导视频生成、首帧或首尾帧驱动的视频过渡与扩展。技能内置了使用 ffmpeg 进行高分辨率或长源视频预处理与优化、为完整声音再生而提取音频、以及逐步视频编辑与并行执行的能力。通过本技能，开发者可以快速集成生成式视频能力，自动化复杂的视频创作流程，减少手动操作。
npx skills add https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-omni-flash-api使用此技能可基于 Gemini Omni 1.1 Flash（gemini-omni-1.1-flash）模型进行生成式视频编辑、文本转视频、图像参考视频生成、首帧转视频、首尾帧过渡以及视频扩展，这一切均通过官方 google-genai SDK 实现。技能包含了使用 ffmpeg 预处理/优化高分辨率或长源视频的工作流、为完整声音再生而提取音频，以及处理逐步视频编辑和并行执行的能力。
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.