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keyword-extractor

Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.

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Keyword Extractor

Extracts max 50 relevant keywords from text and formats them in a strict machine-ready structure.


QUICK START

Jump to any section:

  1. CORE MANDATE – Output rules and formatting
  2. WHEN TO USE – Trigger conditions for this skill
  3. KEYWORD QUALITY RULES – Priorities and forbidden keywords
  4. WORKFLOW – Step-by-step generation and processing
  5. FAILURE HANDLING – Short text or edge cases

CORE MANDATE

Return exactly one comma-separated line of keywords, following these rules:

  • max 50 keywords
  • ordered by relevance
  • all lowercase
  • no duplicates or near-duplicates
  • mix of single words and 2–4 word phrases
  • no numbering, bullets, explanations, or trailing period

When to Use

Use this skill when the user wants to generate or extract SEO-friendly keywords or tags from text including:

  • Extracting keywords or tags for any given text or paragraph
  • Creating comma-separated keywords or tags suitable for SEO, search, or metadata
  • Generating topic-specific keywords or tags based on the content’s main subjects and concepts

This skill should be triggered for all text-based keyword extraction requests, regardless of phrasing, as long as the goal is SEO, tagging, or metadata generation.

Do NOT trigger this skill for:

  • Summaries or paraphrasing requests
  • Text analysis without keyword generation

KEYWORD QUALITY RULES

Prefer noun phrases over verbs or adjectives. Prefer keywords useful for:

  • SEO and search
  • tagging
  • metadata

Prioritize:

  • domain terminology
  • meaningful nouns
  • search phrases
  • entities
  • technical concepts

Avoid weak keywords like:

  • things and various topics
  • general concepts
  • important ideas
  • methods

IMPORTANT: Each keyword must strictly represent a phrase that a user would type into a search engine


WORKFLOW

Step 1 — Analyze

Identify:

  • main subject
  • key topics
  • domain terminology
  • entities
  • concepts

Ignore filler words.


Step 2 — Generate Keywords

Generate up to 50 strictly SEO-friendly keywords directly from the text.

Include:

  • core topics
  • domain terminology
  • related concepts
  • common search queries

Allowed formats:

  • single words
  • 2 word phrases
  • 3 word phrases
  • 4 word phrases

Example: machine learning, neural networks, deep learning models, ai algorithms, data science tools

Avoid vague keywords, filler phrases, adjectives without nouns like: important methods, different ideas, various techniques, things

Keywords must not exceed 4 words.


Step 3 — Rank

Order keywords by SEO importance using these signals:

  1. main topic of the text
  2. high-value domain terminology
  3. technologies, tools, or entities mentioned
  4. common search queries related to the topic
  5. supporting contextual topics

Most important keywords should always appear first.


Step 4 — Normalize

Ensure:

  • lowercase, comma separated, no duplicates
  • ≤50 keywords
  • Remove near-duplicate keywords that represent the same concept.
  • Keep only the most common search phrase.
  • If two keywords represent the same concept, keep only the more common search phrase.

Step 5 — Validate

Before returning output ensure:

  • keyword_count <= 50
  • no duplicates and near-duplicates
  • all lowercase and comma separated
  • no trailing period
  • each keyword is a clear searchable topic
  • keywords do not exceed 4 words

If any rule fails regenerate the list.


FAILURE HANDLING

If text is very short, infer likely topics and still generate keywords. Never exceed 50 keywords.


Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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