SEO & GEO (Generative Engine Optimization) für Websites. Analysiert Keywords, erstellt Schema-Markups und optimiert für KI-Suchmaschinen (ChatGPT, Perplexity, Gemini, Copilot, Claude) und traditionelle Suche (Google, Bing). Verwenden, wenn der Nutzer die Sichtbarkeit in Suchmaschinen verbessern, Suchoptimierung, Ranking, KI-Sichtbarkeit, ChatGPT-Ranking, Google KI-Übersicht, Indexierung, JSON-LD, Meta-Tags oder Keyword-Recherche wünscht.
Diese Fähigkeit (Skill) kombiniert traditionelle Suchmaschinenoptimierung (SEO) mit generativer Engine-Optimierung (GEO), um die Sichtbarkeit von Websites sowohl in klassischen Suchmaschinen wie Google und Bing als auch in KI-gestützten Suchdiensten wie ChatGPT, Perplexity, Gemini, Copilot und Claude zu maximieren. Sie unterstützt Entwickler und Vermarkter bei der Keyword-Recherche, der Generierung von Schema-Markups (JSON-LD), der Optimierung von Meta-Tags und der Inhaltsanalyse für KI-Übersichten und Indexierung. Der Skill ist ideal für Benutzer, die ihre Suchrankings verbessern, auf KI-Suchmaschinen vorbereitet sein und technische SEO-Aufgaben wie strukturierte Daten oder Indexierung automatisieren möchten. Er funktioniert durch die Analyse von Website-Inhalten, die Identifizierung relevanter Keywords und die Erstellung optimierter Markups, die sowohl von traditionellen Crawlern als auch von KI-Modellen verstanden werden.
npx skills add https://github.com/resciencelab/opc-skills/tree/main/skills/seo-geoInstalled? Explore more Recherche & Datenanalyse skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
SEO & GEO (Generative Engine Optimization) für Websites. Analysiert Keywords, erstellt Schema-Markups und optimiert für KI-Suchmaschinen (ChatGPT, Perplexity, Gemini, Copilot, Claude) und traditionelle Suche (Google, Bing). Verwenden, wenn der Nutzer die Sichtbarkeit in Suchmaschinen verbessern, Suchoptimierung, Ranking, KI-Sichtbarkeit, ChatGPT-Ranking, Google KI-Übersicht, Indexierung, JSON-LD, Meta-Tags oder Keyword-Recherche wünscht.
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.
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.
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.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
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.