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resciencelab/seo-geo

SEO & GEO (Optimización para Motores Generativos) para sitios web. Analiza palabras clave, genera marcado de esquema (schema markup), optimiza para motores de búsqueda de IA (ChatGPT, Perplexity, Gemini, Copilot, Claude) y búsqueda tradicional (Google, Bing). Útil cuando el usuario desea mejorar la visibilidad en búsqueda, optimización de búsqueda, ranking de búsqueda, visibilidad en IA, ranking en ChatGPT, Resúmenes Generativos de Google, indexación, JSON-LD, metaetiquetas o investigación de palabras clave.

¿Qué es seo-geo?

Esta habilidad, resciencelab/seo-geo, se centra en la optimización para motores de búsqueda tradicionales (SEO) y para motores de búsqueda generativos (GEO). Es ideal para desarrolladores y profesionales del marketing digital que buscan mejorar la visibilidad de un sitio web tanto en buscadores convencionales como Google y Bing, como en plataformas de IA como ChatGPT, Perplexity, Gemini, Copilot y Claude. La habilidad permite analizar palabras clave, generar marcado de datos estructurados (JSON-LD) y optimizar metaetiquetas para mejorar el ranking en resultados de búsqueda tradicionales y en respuestas generadas por IA, como los Resúmenes Generativos de Google. Funciona como una guía integral que proporciona estrategias y mejores prácticas para adaptar el contenido web a los algoritmos de búsqueda modernos, incluyendo la optimización para fragmentos destacados, paneles de conocimiento y visibilidad en asistentes de IA.

Compatible con✓Claude Code~Codex CLI~Cursor✓Gemini CLI

npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/seo-geo

Installed? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

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Documentación

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Individual skills in this repo

This repo contains 9 individual skills — each has its own dedicated page.

resciencelab/banner-creator

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.

resciencelab/domain-hunter

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.

resciencelab/logo-creator

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.

resciencelab/nanobanana

Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro). Supports text-to-image, image editing, various aspect ratios, and high-resolution output (2K/4K). Use when user wants to generate images, create images, use Gemini image generation, or do AI image generation.

resciencelab/opc-skills

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.

resciencelab/reddit

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.

resciencelab/requesthunt

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.

resciencelab/skill-name

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."

resciencelab/twitter

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.

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affaan-m/literature-review

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langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

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