google-search-console
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
When the user wants to write, generate, or create article body content—blog post body, long-form content, how-to guide, listicle. Also use when the user mentions "write article," "article content," "blog post content," "article body," "long-form content creation," "generate
Claude Code
$ npx -y skills add kostja94/marketing-skills --skill article --agent claude-code
Codex
$ npx skills add kostja94/marketing-skills --skill article -a codex -y
Cursor
$ npx skills add kostja94/marketing-skills --skill article -a cursor -y
Gemini CLI
$ npx skills add kostja94/marketing-skills --skill article -a gemini-cli -y
GitHub Copilot
$ npx skills add kostja94/marketing-skills --skill article -a github-copilot -y
OpenCode
$ npx skills add kostja94/marketing-skills --skill article -a opencode -y
Windsurf
$ npx skills add kostja94/marketing-skills --skill article -a windsurf -y
name: article-content description: When the user wants to write, generate, or create article body content—blog post body, long-form content, how-to guide, listicle. Also use when the user mentions "write article," "article content," "blog post content," "article body," "long-form content creation," "generate article," "article draft," "how-to guide content," "listicle content," "information gain," or "content density." For single post page structure, schema, and SEO metadata, use article-page-generator. For blog index/listing page, use blog-page-generator. For short ad, landing, or email copy, use copywriting. metadata: version: 1.1.1
Guides creation of **article body content**—the actual text (intro, body, conclusion) for blog posts, guides, and long-form pieces. Focus on **what to write**. For **where it goes** (page structure, schema, metadata), see **article-page-generator**. For short conversion copy (ads, landing pages, CTAs), see **copywriting**.
**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.
**Quality over length**: Google prioritizes comprehensive coverage of search intent, not word count. Match length to topic depth and intent.
| Type | Word count | Use case | |------|------------|----------| | **News / announcements** | 300–600 | Product updates, breaking news, FAQs | | **Short-form** | 500–800 | Landing pages, product pages (scannable) | | **Standard articles / how-tos** | 1,000–1,500 | Single topic; actionable; listicles | | **Listicles** | 1,200–2,000 | "Top 10," "Best X"; numbered lists boost CTR ~70% | | **Cluster articles** | 800–2,500 | Subtopic; links to pillar | | **Pillar / cornerstone** | 2,000–3,500+ | Comprehensive; cluster hub; 6–12 sections | | **Competitive keywords** | 1,800–2,500 | Page-one SEO posts avg ~2,400 words |
**Intent-based** (Google 2025): Validate 1,200–2,000; Explore 2,000–3,500; Compare 600–1,200; Do 900–1,500; Know 300–800. Informational ~40% longer than transactional.
**Avoid**: Under 300 words (thin); over 7,000 (often underperforms due to reduced focus).
Article content rests on **four inputs**. See **article-page-generator** for full workflow.
| Input | Purpose | |-------|---------| | **Product** | Connection, features, CTA placement | | **Keywords** | Target keyword, primary/secondary | | **Article intent** | Informational, commercial, transactional | | **Competitor articles** | Structure to adopt, content gaps, length target |
**Information gain** = net new information a page provides beyond what exists in top-ranking results. Google evaluates unique value, not comprehensiveness. Content density (unique entities, data points, insights per 100 words) matters more than word count. Skyscraper Technique (longer = better) no longer differentiates; AI made comprehensiveness cheap.
**Four sources of information gain**:
**Avoid consensus content**: Restating common facts across top 10 results = zero information gain. Audit SERP before writing; list the "consensus layer"; identify gaps (unanswered questions, outdated data, underserved segments). Lead with what is new; structure answer-first.
**Density check**: Count unique data points, original insights, specific claims. If ratio of new information to word count is low, cut filler. High-density content (800-1,500 words with 3+ original points) often outperforms long rehashed guides.
Choose one; place after intro. Content with these elements tends to be cited more frequently by AI engines.
| Format | Spec | |--------|------| | **TL;DR** | 50–100 word bold summary paragraph | | **Key Takeaways** | 5–7 bullet points |
See **generative-engine-optimization** for full GEO strategy.
**Length**: 40–120 words; 2–3 paragraphs. Readers decide in ~8 seconds; hook must work instantly.
| Element | Guideline | |---------|-----------| | **Hook** | First 1–2 sentences: pain point, stat, or question; curiosity gap; specific data or contrarian fact | | **Primary keyword** | In first 100 words | | **Expectations** | Set what reader will learn |
**Hook types**: "You're doing X wrong"; "97% of Y…"; bold question; challenge assumption. Well-crafted hooks boost CTR 30–50%.
| Element | Guideline | |---------|-----------| | **QAE pattern** | Question (H2) → Answer (2 sentences) → Evidence (data, examples, lists) | | **Answer-first** | Direct answer in first 40–60 words after each H2 | | **Answer blocks** | 100–200 words per section; direct answer + context + evidence | | **Paragraph length** | 40–80 words; 2–4 sentences; avoid walls of text | | **Break long blocks** | Lists, H3s, images, callout boxes every 2–3 paragraphs | | **Scannability** | Front-load key info (F-pattern); **bold** key phrases; one idea per paragraph |
**Long-form (1,000+ words)**: Place engagement hooks every 500–600 words; mix 40–50% explanatory text, 20–25% examples, 10–15% data, 5–10% visuals.
**Summary** + **CTA**: newsletter signup, r
Marketing Skills is an open-source library of reusable marketing and SEO workflows for AI agents. Install the skills your task needs, provide real product context, and get structured work grounded in explicit methods, checks, and source rules.
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