mcpField
C
content-optimization

content-optimization

github.com/kostja94Marketing & growth1.1k1.3k installsUpdated 2d ago
Repository

About content-optimization

A marketing skill for optimizing on-page content, aimed at writers and SEO practitioners. It covers content length, heading keywords, natural keyword use, and multimedia structure.

Key features

  1. 01Content length guidance by type
  2. 02H2 keyword placement
  3. 03Keyword stuffing checks
  4. 04Image, video, table, and list guidance
  5. 05Featured Snippet and GEO structure

Use cases

  1. 01Planning an article’s length and section headings
  2. 02Reviewing keyword use for unnatural repetition
  3. 03Choosing tables or lists to clarify content

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/kostja94/marketing-skills --skill content-optimization

After installing, type/content-optimizationin Claude Code to confirm it loaded.

Details

From the project README

SEO Content: Content Optimization

Guides on-page content optimization: word count, heading keywords, keyword density vs stuffing, multimedia, tables, and lists. Complements heading-structure (structure) and content-strategy (planning).

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope

  • Word count: For articles, see article-content (word count by type). This skill covers generic content length strategy.
  • H2 keywords: Placement, quantity, variation
  • Keyword density vs stuffing: Natural use; avoid manipulation
  • Multimedia: Images, tables, lists, video for structure and Featured Snippets. See featured-snippet for snippet-specific optimization; video-optimization for video SEO.

Initial Assessment

Project context: Read root contextus.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.

Identify:

  1. Content type: Article, guide, listicle, pillar, news
  2. Target keyword: Primary and secondary
  3. Competitors: Top 10 average length and structure — see competitor-research

Word Count

Google does not rank by word count. Length should match search intent and topic depth. A 1,000-word post that satisfies intent can outrank a 3,000-word thin piece.

Reference Ranges by Content Type

For article word count by type (news, how-to, listicle, pillar, etc.), see article-content. Generic ranges:

Content typeWord countNotes
News / announcements300–600Time-sensitive; concise
Standard articles / how-tos1,000–1,500Single topic; actionable
Listicles / guides1,200–2,000"Top 10," "Best X"
Pillar / cornerstone2,000–3,500+Comprehensive; cluster hub
Strategy
  1. Analyze top 10 for target keyword — average length and depth
  2. Match intent — informational often needs ~40% longer than transactional
  3. Value over padding — each section must add genuine value; avoid fluff
  4. Comprehensive coverage — answer the query and related questions

H2 Heading Keywords

Placement
  • Primary keyword: Include naturally in at least one H2 when relevant
  • Related keywords: Use LSI and long-tail in other H2s for topical coverage
  • Avoid stuffing: Headings must stay clear and readable; organic placement only
Quantity
  • No strict limit — one H2 per major section; structure follows content
  • Typical article: 4–8 H2s; pillar: 8–15+ H2s
  • Hierarchy: H1 → H2 (major sections) → H3 (subsections); don't skip levels
Best Practices
PracticePurpose
Descriptive H2sSearch engines understand context; users scan
Answer-firstPlace direct answer in first 40–50 words after H2 for Featured Snippets; see featured-snippet
Keyword variationUse related terms; avoid repeating exact phrase in every H2
Logical flowH2s outline the article; support topical authority

Keyword Density vs Keyword Stuffing

Definitions
TermMeaning
Keyword density(Keyword count / Total words) × 100; a metric, not a ranking factor
Keyword stuffingExcessive, unnatural repetition to manipulate rankings; black-hat
Current Guidance
  • Keyword density is not a direct ranking factor — Google has stated since 2011 that repetition alone doesn't improve rankings
  • Reference range: 0.5%–1.5% for most content; some sources cite up to 2.5%
  • Use density mainly to avoid stuffing — if density exceeds ~2–3% and reads unnaturally, reduce
  • Prioritize natural placement: title, H1, first 100 words, 1–2 H2s, body; avoid forced repetition
How to Avoid Stuffing
  • Write for users first; keywords should fit naturally
  • Use synonyms, related terms, and question phrasing
  • If a sentence sounds awkward with the keyword, rewrite
  • Monitor: if every paragraph repeats the exact phrase, simplify

Multimedia: Images, Tables, Lists

Images
PracticePurpose
Alt, file names, captionsSee image-optimization for full image SEO (alt, format, responsive, lazy loading, image sitemap, LCP, captions for Featured Snippets)
Original over stockUnique images signal E-E-A-T — see eeat-signals

Content placement: Put images near relevant text; captions support snippet thumbnails. See image-optimization for captions; featured-snippet for snippet context.

Video
PracticePurpose
Embed + metadataVideoObject schema, video sitemap, thumbnail; see video-optimization
YouTubeGoogle prioritizes YouTube in search; GEO citation; see youtube-seo, generative-engine-optimization
Featured Snippet (video)Video schema; timestamps/chapters; see featured-snippet
Tables
  • Use for: Comparisons, stats, specs, "X vs Y"
  • Semantic HTML: <table>, <thead>, <tbody>, clear column headers
  • Featured Snippets: ~6% of snippets are tables; optimize headers with target keywords. See featured-snippet
  • Mobile: Responsive; avoid horizontal scroll when possible
  • Data quality: No empty cells; consistent units; accurate, current data
Lists: Ordered vs Unordered
TypeUse caseSEO / Snippet
Ordered (<ol>)Steps, rankings, sequences, "Top 10"List snippets (~19% of Featured Snippets); how-to; see featured-snippet
Unordered (<ul>)Non-sequential items, features, optionsBullet snippets; definitions, options

Best practices:

  • Use semantic <ol> and <ul>; avoid divs styled as lists
  • Answer-first: For snippet targets, put the direct answer in the first 40–50 words after the heading
  • Concise items: List items should be scannable; expand in body if needed
  • Logical order: Ordered lists = sequence matters; unordered = no sequence
GEO / AI Citation

Answer-first (direct answer in first 40–60 words after H2) supports both Featured Snippets and GEO. For article-level GEO (TL;DR, Key Takeaways, QAE pattern), see article-content and generative-engine-optimization. For Featured Snippet formats and optimization, see featured-snippet.


Content Audit Checklist

For article content audit (hook, QAE, product connection, CTA, references, gaps), see article-content. This skill covers generic content optimization (H2 keywords, multimedia, keyword density).


Output Format

  • Word count recommendation by content type
  • H2 outline with keyword placement
  • Keyword density check (avoid stuffing)
  • Structure (tables, lists) for Featured Snippet opportunity; see featured-snippet
  • Multimedia checklist (images per image-optimization; tables, lists)

Related Skills

  • heading-structure: H1–H6 hierarchy; H2 keyword placement
  • content-strategy: Topic clusters, pillar + cluster
  • keyword-research: Target keywords inform placement
  • featured-snippet: Snippet formats, structure; answer-first
  • howto-section-generator: How-to step sections; <ol> lists; HowTo vs FAQ
  • eeat-signals: E-E-A-T; original images, trust
  • image-optimization: Alt, captions, format, LCP, responsive, image sitemap
  • video-optimization: Video SEO; VideoObject; video sitemap
  • competitor-research: Competitor length and structure as reference
  • article-content: Article word count by type; Content Audit Checklist; article body creation

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