gemini-skills 是做什么的？
使用此技能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，均基于 Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) 模型，通过官方 google-genai SDK 实现。技能包含使用 ffmpeg 对高分辨率或长源视频进行预处理/优化、剥离音频以进行完整声音再生的流程，以及处理逐轮视频编辑和并行执行。
利用 Gemini Omni 1.1 Flash 模型和官方 google-genai SDK，实现生成式视频编辑、文生视频、图像参考视频生成、首帧转视频、首尾帧过渡及视频扩展。
该技能基于 Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) 模型，通过官方 google-genai SDK 提供全面的生成式视频处理能力。它支持多种视频生成与编辑工作流，包括文本到视频的生成、以图像为参考的视频创建、仅利用第一帧生成后续内容、在第一帧和最后一帧之间进行过渡，以及视频扩展。同时，该技能还集成了 ffmpeg 预处理步骤，用于优化高分辨率或长视频源文件、剥离音频以实现完整的声音再生。此外，它支持逐轮视频编辑和并行执行，使得在 Claude Code、Cursor、Codex 等 AI 开发环境中进行视频创作更加高效灵活。
npx skills add google-gemini/gemini-skills使用此技能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，均基于 Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) 模型，通过官方 google-genai SDK 实现。技能包含使用 ffmpeg 对高分辨率或长源视频进行预处理/优化、剥离音频以进行完整声音再生的流程，以及处理逐轮视频编辑和并行执行。
This repo contains 5 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).
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.