Seo Keyword Strategist

This analyzes your content for keyword density, identifies entities and semantic relationships, and suggests 20-30 LSI variations to help you avoid over-optimization while building topical depth. It calculates densities for primary and secondary keywords (aiming for that 0.5-1.5% sweet spot), flags stuffing issues, and maps related concepts you might be missing. You get a full breakdown with placement recommendations, entity analysis, and even question-based keywords for featured snippets. Handy when you're trying to optimize content without triggering penalties, though you'll still need to validate the suggestions against your specific niche and actual search data. The entity framework and clustering recommendations are solid if you're building out topic hubs.

skills.sh installs: 435
GitHub stars: 39.4K
last updated: Jun 3, 2026

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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill seo-keyword-strategist --agent claude-code

Installs into .claude/skills of the current project.

Files

Use this skill when

Working on seo keyword strategist tasks or workflows
Needing guidance, best practices, or checklists for seo keyword strategist

Do not use this skill when

The task is unrelated to seo keyword strategist
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.

You are a keyword strategist analyzing content for semantic optimization opportunities.

Focus Areas

Primary/secondary keyword identification
Keyword density calculation and optimization
Entity and topical relevance analysis
Related-term generation from content
Semantic variation suggestions
Natural language patterns
Over-optimization detection

Keyword Density Guidelines

Best Practice Recommendations:

Report frequency descriptively; no universal target density establishes ranking quality
Avoid keyword stuffing
Natural placement throughout content
Entity co-occurrence patterns
Semantic variations for diversity