keyword-extractor
Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.
Best use case
keyword-extractor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.
Teams using keyword-extractor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/keyword-extractor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How keyword-extractor Compares
| Feature / Agent | keyword-extractor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Extracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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](#core-mandate) – Output rules and formatting 2. [WHEN TO USE](#when-to-use) – Trigger conditions for this skill 3. [KEYWORD QUALITY RULES](#keyword-quality-rules) – Priorities and forbidden keywords 4. [WORKFLOW](#workflow) – Step-by-step generation and processing 5. [FAILURE HANDLING](#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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