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google-gemini/gemini-skills

Utiliza esta habilidad para edición generativa de video, texto a video, generación de video con referencia de imagen, transiciones de primer fotograma a video, transiciones de primer y último fotograma, y extensiones de video usando Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) a través del SDK oficial google-genai.

¿Qué es gemini-skills?

Esta habilidad está diseñada para que agentes de IA, como Claude Code, Cursor o Codex, puedan realizar edición generativa de video directamente desde la línea de comandos o integraciones de desarrollo. Aprovecha el modelo Gemini Omni 1.1 Flash de Google, ofreciendo capacidades como texto a video, generación de video con referencia de imagen, transiciones inteligentes entre fotogramas (primero a video, primero y último a video) y extensiones de videos existentes. La habilidad incluye flujos de trabajo de preprocesamiento con ffmpeg para optimizar videos de alta resolución o larga duración, eliminar audio para regenerarlo completamente y manejar la edición de video turno por turno, así como la ejecución paralela de tareas. Es ideal para desarrolladores y creadores que desean integrar edición de video generativa en sus pipelines de automatización o aplicaciones, reduciendo la complejidad de la interacción directa con la API de Gemini.

Compatible con~Claude Code~Codex CLI~Cursor✓Gemini CLI
npx skills add google-gemini/gemini-skills
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Documentación

¿Qué hace gemini-skills?

Usa esta habilidad para edición generativa de video, texto a video, generación de video con referencia de imagen, transiciones de primer fotograma a video, transiciones de primer y último fotograma, y extensiones de video usando Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) a través del SDK oficial google-genai. Incluye flujos de trabajo para preprocesar/optimizar videos fuente de alta resolución o larga duración con ffmpeg, eliminar audio para regenerar sonido por completo, y manejar la edición de video turno por turno y la ejecución paralela.

Individual skills in this repo

This repo contains 5 individual skills — each has its own dedicated page.

google-gemini/gemini-api-dev

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.

google-gemini/gemini-interactions-api

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.

google-gemini/gemini-live-api-dev

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).

google-gemini/gemini-skills

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.

google-gemini/vertex-ai-api-dev

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.

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