Genera y edita imágenes utilizando Google Gemini 3 Pro Image (Nano Banana Pro). Compatible con texto a imagen, edición de imágenes, varias relaciones de aspecto y salida de alta resolución (2K/4K).
La skill resciencelab/nanobanana es una herramienta avanzada para la generación y edición de imágenes mediante inteligencia artificial, basada en el modelo Google Gemini 3 Pro Image (Nano Banana Pro). Permite crear imágenes a partir de descripciones textuales (texto a imagen) y también editar imágenes ya existentes, ofreciendo control sobre la relación de aspecto y la capacidad de generar imágenes en alta resolución, hasta 2K o 4K. Su principal ventaja es la integración con el potente modelo de Gemini, que proporciona resultados de alta calidad y precisión. Ideal para desarrolladores y usuarios que desean generar contenido visual de manera rápida y eficiente, ya sea para prototipos, presentaciones o cualquier otro proyecto que requiera imágenes generadas por IA. Es compatible con plataformas como Claude Code, Cursor y Codex, y se activa cuando el usuario solicita explícitamente la generación de imágenes, la creación de imágenes mediante IA o el uso de la funcionalidad de imagen de Gemini.
npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/nanobananaInstalled? Explore more Imagen skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Genera y edita imágenes usando Google Gemini 3 Pro Image (Nano Banana Pro). Soporta texto-a-imagen, edición de imágenes, varias relaciones de aspecto y salida de alta resolución (2K/4K). Úsalo cuando el usuario quiera generar imágenes, crear imágenes, usar la generación de imágenes de Gemini o hacer generación de imágenes por IA.
This repo contains 9 individual skills — each has its own dedicated page.
Create banners using AI image generation. Discuss format/style, generate variations, iterate with user feedback, crop to target ratio. Use when user wants to create a banner, header, hero image, cover image, GitHub banner, Twitter header, or readme banner.
Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.
Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.
Search and retrieve content from Product Hunt. Get posts, topics, users, and collections via the GraphQL API. Use when user mentions Product Hunt, PH, or product launches.
Search and retrieve content from Reddit. Get posts, comments, subreddit info, and user profiles via the public JSON API. Use when user mentions Reddit, a subreddit, or r/ links.
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. Use when user wants to do demand research, find feature requests, analyze user demand, or run RequestHunt queries.
SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.
Clear description of what this skill does and when to use it. Include trigger keywords and contexts inline, e.g. "Use when user wants to X, Y, or Z."
Search and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io. Use when user mentions Twitter, X, or tweets.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.