JantonioFC Keyword Extractor
Extracts max 50 relevant keywords from text and formats them in a strict machine-ready structure.
QUICK START
Jump to any section:
- CORE MANDATE – Output rules and formatting
- WHEN TO USE – Trigger conditions for this skill
- KEYWORD QUALITY RULES – Priorities and forbidden keywords
- WORKFLOW – Step-by-step generation and processing
- 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:
- main topic of the text
- high-value domain terminology
- technologies, tools, or entities mentioned
- common search queries related to the topic
- 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.
When to Use
This skill is applicable to execute the workflow or actions described in the overview.