keyword-extractor

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

Data & Documents 39,350 stars 6386 forks Updated today MIT

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Quality Score: 99/100

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100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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 --- ...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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