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kostja94

content-optimization

by Kostja Zhang · GitHub ↗ · v1.2.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install content-optimization
Description
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...
README (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 type Word count Notes
News / announcements 300–600 Time-sensitive; concise
Standard articles / how-tos 1,000–1,500 Single topic; actionable
Listicles / guides 1,200–2,000 "Top 10," "Best X"
Pillar / cornerstone 2,000–3,500+ 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

Practice Purpose
Descriptive H2s Search engines understand context; users scan
Answer-first Place direct answer in first 40–50 words after H2 for Featured Snippets; see featured-snippet
Keyword variation Use related terms; avoid repeating exact phrase in every H2
Logical flow H2s outline the article; support topical authority

Keyword Density vs Keyword Stuffing

Definitions

Term Meaning
Keyword density (Keyword count / Total words) × 100; a metric, not a ranking factor
Keyword stuffing Excessive, 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

Practice Purpose
Alt, file names, captions See image-optimization for full image SEO (alt, format, responsive, lazy loading, image sitemap, LCP, captions for Featured Snippets)
Original over stock Unique 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

Practice Purpose
Embed + metadata VideoObject schema, video sitemap, thumbnail; see video-optimization
YouTube Google 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: \x3Ctable>, \x3Cthead>, \x3Ctbody>, 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

Type Use case SEO / Snippet
Ordered (\x3Col>) Steps, rankings, sequences, "Top 10" List snippets (~19% of Featured Snippets); how-to; see featured-snippet
Unordered (\x3Cul>) Non-sequential items, features, options Bullet snippets; definitions, options

Best practices:

  • Use semantic \x3Col> and \x3Cul>; 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
  • 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
Usage Guidance
This skill appears to be what it says: an instruction-only SEO/content optimizer that asks no credentials and installs nothing. Before installing, note that it instructs the agent to read optional local project context files (.claude/project-context.md or .cursor/project-context.md) to tailor recommendations — if those files contain sensitive information, review or remove that content first. Also be aware it references other skills (competitor-research, article-content, etc.); those other skills (if present and invoked) could have their own scopes or requirements, so review them too. If you want stricter privacy, disable autonomous invocation or avoid storing sensitive data in the referenced project-context files.
Capability Assessment
Purpose & Capability
Name/description (SEO content optimization) match the SKILL.md contents. The guidance (word count, H2 keyword placement, multimedia, tables, lists) aligns with the stated purpose and does not request unrelated resources or credentials.
Instruction Scope
Instructions are mostly in-scope. The skill explicitly tells the agent to read project context files (.claude/project-context.md or .cursor/project-context.md) if present — this is reasonable for tailoring SEO advice but is access to user-local files and therefore privacy-sensitive. The skill references other internal skills (competitor-research, article-content, featured-snippet) but does not itself instruct any external network calls or unexpected data exfiltration.
Install Mechanism
No install spec and no code files — instruction-only. This is low-risk: nothing will be downloaded or written to disk by an installer.
Credentials
Requires no environment variables, no credentials, and no config paths beyond the optional project-context files mentioned in the instructions. The requested access is proportional to an SEO/content task.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent/system-wide privileges or changes to other skills. Autonomous invocation is allowed by default but not combined with other high-risk factors here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install content-optimization
  3. After installation, invoke the skill by name or use /content-optimization
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
Automated batch sync
v1.2.0
Automated batch sync
Metadata
Slug content-optimization
Version 1.2.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is content-optimization?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 202 downloads so far.

How do I install content-optimization?

Run "/install content-optimization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is content-optimization free?

Yes, content-optimization is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does content-optimization support?

content-optimization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created content-optimization?

It is built and maintained by Kostja Zhang (@kostja94); the current version is v1.2.1.

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