article-content

article-content guides the creation of article body content — the actual text of introductions, body sections, conclusions, and CTAs for blog posts, guides, and long-form pieces. It focuses on what to write rather than where it goes, deliberately delegating page structure, schema, and SEO metadata to article-page-generator and short conversion copy for ads, landing pages, and CTAs to copywriting. It is used when a user wants to write, generate, or create article body content, long-form content, how-to guides, or listicles.

The skill provides concrete, current guidance. It gives article-type word-count ranges (for example, news 300–600, standard how-tos 1,000–1,500, listicles 1,200–2,000, pillar/cornerstone 2,000–3,500+) and intent-based targets, while stressing quality over length. Its content workflow rests on four inputs (Product, Keywords, Article intent, Competitor articles) and centers on information gain — the net new information a page provides beyond top-ranking results — sourced from counter-narratives, temporal freshness, SME perspectives, and proprietary data, with a density check to cut filler. It specifies GEO elements (a 50–100 word TL;DR or 5–7 Key Takeaways placed after the intro), introduction structure (40–120 words, primary keyword in first 100 words, strong hook), body patterns (QAE: Question H2, Answer, Evidence; answer-first in the first 40–60 words; 40–80 word paragraphs; scannability), and conclusion (summary plus CTA and natural product connection). It also maps writing frameworks (AIDA, PAS, BAB) to article structure and covers headlines, references and citations, and content quality (readability grade 8–10, originality).

Target users are content marketers, SEO writers, and product marketers producing long-form content. The skill repeatedly cross-references companion skills — article-page-generator for structure and metadata, copywriting for frameworks and headlines, generative-engine-optimization for GEO strategy, title-tag for titles, and eeat-signals for E-E-A-T and citations — so it is best used as part of that broader content toolkit. It cautions against thin content under 300 words and against pieces over 7,000 words, which often underperform.