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Skills/kostja94/marketing-skills/content-optimization
content-optimization logo

content-optimization

kostja94/marketing-skills
901 installs615 stars
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Installation

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

Summary

When the user wants to optimize content for SEO—word count, H2 keywords, keyword density, multimedia, tables, lists. Also use when the user mentions "content length," "word count," "keyword stuffing," "H2 keywords," "keyword density," "tables," "bullet points," or "content structure." For keywords, use keyword-research.

SKILL.md

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

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for target keywords and content type.

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

Score

0–100
63/ 100

Grade

C

Popularity15/30

901 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Content Optimization skill score badge previewScore badge

Markdown

[![Content Optimization skill](https://www.remoteopenclaw.com/skills/kostja94/marketing-skills/content-optimization/badges/score.svg)](https://www.remoteopenclaw.com/skills/kostja94/marketing-skills/content-optimization)

HTML

<a href="https://www.remoteopenclaw.com/skills/kostja94/marketing-skills/content-optimization"><img src="https://www.remoteopenclaw.com/skills/kostja94/marketing-skills/content-optimization/badges/score.svg" alt="Content Optimization skill"/></a>

Content Optimization FAQ

How do I install the Content Optimization skill?

Run “npx skills add https://github.com/kostja94/marketing-skills --skill content-optimization” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Content Optimization skill do?

When the user wants to optimize content for SEO—word count, H2 keywords, keyword density, multimedia, tables, lists. Also use when the user mentions "content length," "word count," "keyword stuffing," "H2 keywords," "keyword density," "tables," "bullet points," or "content structure." For keywords, use keyword-research. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Content Optimization skill free?

Yes. Content Optimization is a free, open-source skill published from kostja94/marketing-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Content Optimization work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Content Optimization works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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