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seo-keyword-strategist

Analyze keyword density and suggest LSI keywords for content.

23|2|Updated Jan 19, 2026
Search Tags:#keyword research#content optimization#seo#semantic analysis#keyword density#lsi keywords
One-click install
npx skills add https://github.com/herdiansah/Antigravity-Skills-Master --skill seo-keyword-strategist
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-keyword-strategist
Source: https://github.com/herdiansah/Antigravity-Skills-Master/tree/main/.agent/skills/seo-keyword-strategist
Command: npx skills add https://github.com/herdiansah/Antigravity-Skills-Master --skill seo-keyword-strategist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps content creators and SEO specialists improve their content's visibility and ranking on search engines by analyzing and optimizing keyword usage.

Core Features & Use Cases

  • Keyword Density Analysis: Calculates and suggests optimal density for primary and secondary keywords.
  • LSI & Semantic Keyword Generation: Provides related terms to enhance topical relevance and avoid over-optimization.
  • Entity Analysis: Identifies and suggests related entities to build topical authority.
  • Use Case: A blogger wants to ensure their new article on "sustainable gardening" ranks well. They use this Skill to analyze the draft, identify key terms, find semantically related keywords, and ensure the primary keyword isn't overused, leading to better search engine performance.

Quick Start

Analyze the provided text for keyword density and suggest LSI keywords.

Frequently Asked Questions about seo-keyword-strategist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate keyword density and avoid over-optimization in my content?▼

LSI keywords are semantically related terms that enhance topical relevance. You can generate LSI keywords by analyzing your content's core topic to identify entity co-occurrences, which prevents keyword stuffing and builds topical authority for improved search visibility.

How do I find LSI keywords to improve semantic relevance in my SEO content?▼

LSI keywords are semantically related terms that enhance topical relevance. You can generate LSI keywords by analyzing your content's core topic to identify entity co-occurrences, which prevents keyword stuffing and builds topical authority for improved search visibility.

What is keyword density analysis and how does it affect search engine rankings?▼

Entity analysis identifies related concepts within your text to build topical authority. By suggesting entity co-occurrences based on your core topic, it improves semantic relevance and helps search engines validate the comprehensiveness of your content.

Can I use semantic analysis to build topical authority for a specific article?▼

Entity analysis identifies related concepts within your text to build topical authority. By suggesting entity co-occurrences based on your core topic, it improves semantic relevance and helps search engines validate the comprehensiveness of your content.

When should I analyze keyword usage to prevent content over-optimization?▼

You should analyze keyword usage when drafting content to ensure natural integration of primary and secondary terms. Checking semantic variations and topical depth before publishing helps avoid keyword stuffing and ensures your content ranks well.

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