Extract SEO keywords from any text content

This skill turns a block of text into a strict, machine-ready keyword list: exactly one comma-separated line, lowercase, no duplicates or near-duplicates, mixing single words and 2-4 word phrases, ordered by relevance, with no numbering, bullets, explanations, or trailing period. It works in five steps - analyze the text for its main subject, key topics, domain terminology, entities, and concepts; generate up to 50 SEO-friendly keywords covering core topics, domain terminology, related concepts, and common search queries; rank them by SEO importance (main topic first, then domain terminology, then technologies/tools/entities, then common search queries, then supporting context); normalize the list (lowercase, comma-separated, no duplicates, collapsing near-duplicate concepts down to the single more common search phrase); and validate the result against every rule before returning it, regenerating if any rule fails. A valid result reads like machine learning, neural networks, deep learning models, ai algorithms, data science tools, while vague filler such as important methods, different ideas, various techniques, things is explicitly rejected as a weak keyword.

Use it for any request to extract or generate SEO-friendly keywords or tags from text - comma-separated keywords for SEO, search, or metadata, or topic-specific tags based on a piece of content's main subjects and concepts - regardless of how the request is phrased, as long as the goal is keyword/tag/metadata generation. Do not use it for summarization or paraphrasing requests, or for text analysis that does not end in a keyword list. It is not a substitute for environment-specific validation, testing, or expert review, and its own limitations say to stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Input is any block of text to extract keywords from. Output is exactly one comma-separated line of at most 50 keywords: all lowercase, ordered most-important-first, mixing single words and 2-4 word phrases, with weak keywords ("things", "various topics", "general concepts", "important ideas", "methods") and vague filler phrases excluded in favor of noun phrases, domain terminology, entities, and technical concepts - each one meant to represent a phrase a user would actually type into a search engine. If the source text is very short, the skill still infers likely topics and generates keywords rather than failing, while never exceeding the 50-keyword cap.

Writers, marketers, and content or SEO teams who need a fast, consistently formatted keyword or tag list - for metadata, search indexing, or content tagging - from arbitrary text, without manually brainstorming and deduplicating search phrases themselves.