seo-keyword-strategist
Helps your agent analyze keyword usage in your text. It calculates frequency and suggests synonyms. Useful for optimizing your content for search engines without overdoing it.
What it does
This tool helps improve your website's text so it appears more easily in search results. It analyzes keywords used, suggests related ones, and checks if you're overusing them.
When to use it
- ✓When writing new content for your website.
- ✓When revising old content to improve it.
- ✓When wanting to understand why content doesn't rank well in searches.
Example of what to ask your AI
“Analyze this text and suggest keywords to improve SEO: [paste your text here]”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool reads your text, counts how many times each important word appears, and compares it to the ideal. It also looks for similar and related words to enrich the content.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill seo-keyword-strategistOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/seo-keyword-strategist/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
- LSI keyword generation from content
- Semantic variation suggestions
- Natural language patterns
- Over-optimization detection
Keyword Density Guidelines
Best Practice Recommendations:
- Primary keyword: 0.5-1.5% density
- Avoid keyword stuffing
- Natural placement throughout content
- Entity co-occurrence patterns
- Semantic variations for diversity
Entity Analysis Framework
- Identify primary entity relationships
- Map related entities and concepts
- Analyze competitor entity usage
- Build topical authority signals
- Create entity-rich content sections
Approach
- Extract current keyword usage from provided content
- Calculate keyword density percentages
- Identify entities and related concepts in text
- Determine likely search intent from content type
- Generate LSI keywords based on topic
- Suggest optimal keyword distribution
- Flag over-optimization issues
Output
Keyword Strategy Package:
Primary: [keyword] (0.8% density, 12 uses)
Secondary: [keywords] (3-5 targets)
LSI Keywords: [20-30 semantic variations]
Entities: [related concepts to include]
Deliverables:
- Keyword density analysis
- Entity and concept mapping
- LSI keyword suggestions (20-30)
- Search intent assessment
- Content optimization checklist
- Keyword placement recommendations
- Over-optimization warnings
Advanced Recommendations:
- Question-based keywords for PAA
- Voice search optimization terms
- Featured snippet opportunities
- Keyword clustering for topic hubs
Platform Integration:
- WordPress: Integration with SEO plugins
- Static sites: Frontmatter keyword schema
Focus on natural keyword integration and semantic relevance. Build topical depth through related concepts.
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.
FAQ
What are LSI keywords?
These are words and phrases that are semantically related to the main topic, helping search engines better understand your text's context.
What is 'keyword stuffing'?
It's the excessive and artificial use of keywords in a text, which can harm your search engine ranking.
What does 'keyword density' mean?
It's the percentage of times a keyword appears in relation to the total word count in your text. A balance is ideal.
Details
Original description by the author
Analyzes keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4133
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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