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resciencelab/seo-geo

SEO & GEO (Otimização para Mecanismos Generativos) para sites. Analise palavras-chave, gere marcação de esquema, otimize para mecanismos de busca baseados em IA (ChatGPT, Perplexity, Gemini, Copilot, Claude) e busca tradicional (Google, Bing).

O que é seo-geo?

O skill resciencelab/seo-geo capacita desenvolvedores e agentes de IA a realizar otimização completa para mecanismos de busca tradicionais (SEO) e generativos (GEO). Ele automatiza a análise de palavras-chave, a geração de marcação de esquema JSON-LD e a otimização de metadados para melhorar a visibilidade em plataformas como Google, Bing, ChatGPT, Perplexity, Gemini, Copilot e Claude. O skill é particularmente útil para quem deseja melhorar rankings em IA, aparecer em AI Overviews do Google, ou fazer pesquisa de palavras-chave e auditoria de indexação. Ele funciona como um assistente técnico que interpreta as necessidades de SEO/GEO do usuário e fornece ações concretas, como criar marcação de esquema, ajustar meta tags e analisar conteúdo para mecanismos generativos.

Funciona com✓Claude Code~Codex CLI~Cursor✓Gemini CLI
npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/seo-geo

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Documentação

O que seo-geo faz?

SEO e GEO (Otimização para Mecanismos Generativos) para sites. Analise palavras-chave, gere marcação de esquema, otimize para mecanismos de busca baseados em IA (ChatGPT, Perplexity, Gemini, Copilot, Claude) e busca tradicional (Google, Bing). Use quando o usuário quiser melhorar visibilidade em mecanismos de busca, otimização de busca, ranqueamento, visibilidade em IA, ranqueamento no ChatGPT, AI Overview do Google, indexação, JSON-LD, meta tags ou pesquisa de palavras-chave.

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/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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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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