Extracts up to 50 highly relevant, SEO-optimized keywords and tags from any provided text.
The Keyword Extractor skill empowers developers and content creators to instantly generate high-quality SEO metadata and tags from their content. By analyzing text for domain terminology, key entities, and searchable phrases, it produces a clean, machine-ready list of up to 50 comma-separated keywords. It strictly follows SEO best practices, prioritizing noun phrases and common search queries while removing duplicates and fluff, making it ideal for automating metadata generation, content tagging, and search engine optimization workflows within the Claude Code environment.
Características Principales
01Ranks results by relevance and SEO importance for optimal indexing
02Prioritizes high-value domain terminology and search-friendly noun phrases
03Extracts up to 50 highly relevant SEO keywords and phrases
0439 GitHub stars
05Outputs in a strict, comma-separated, lowercase machine-ready format
06Automatically filters out filler words, duplicates, and non-searchable terms
Casos de Uso
01Generating search keywords for e-commerce product descriptions and catalogues
02Automating meta-tag generation for blog posts and web articles
03Extracting domain-specific tags for documentation and knowledge bases
