article-content

article-content is a skill for Claude Code from dazz/kostja94-marketing-skills. It costs 133 tokens per session (2,563 once invoked), scanned A, a copy of article-content, MIT.

A guide for writing the body of articles, blog posts, how-to guides, and other long-form content. It covers structure, introductions, sections, conclusions, calls to action, and answer-first summaries.

In plain words
What is it for?
It helps draft or improve article sections, explain topics step by step, organize takeaways, and apply writing structures such as problem–solution or question–answer.
Why use it?
It helps turn a topic into a clear, readable article that matches the reader’s purpose. It also helps choose an appropriate depth instead of adding length without useful information.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-skills plugin — 56 skills shipped together

Good fit It helps draft or improve article sections, explain topics step by step, organize takeaways, and apply writing structures such as problem–solution or question–answer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dazz/kostja94-marketing-skills/article-content
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dazz/kostja94-marketing-skills --skill article-content
Clone the repo
git clone --depth 1 https://github.com/dazz/kostja94-marketing-skills

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 56 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for article-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/article-content/github.svg)](https://agentmods.dev/skills/dazz/kostja94-marketing-skills/article-content)
Your own site
<a href="https://agentmods.dev/skills/dazz/kostja94-marketing-skills/article-content"><img src="https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/article-content/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for article-content

Your own site · 80×15
<a href="https://agentmods.dev/skills/dazz/kostja94-marketing-skills/article-content"><img src="https://agentmods.dev/badge/skills/dazz/kostja94-marketing-skills/article-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,563 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.02563
Opus 5 $0.00067 $0.01282
Sonnet 5 $0.00027 $0.00513
Haiku 4.5 $0.00013 $0.00256

Measured 11d ago against content hash 6c8702db8cec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

article-content scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to article-content — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/content/article-content/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content: Article Content

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.

Scope

  • Article body: Introduction, body sections, conclusion, CTA
  • Content structure: Hook, QAE pattern, paragraph length, scannability
  • Word count: By article type and search intent
  • Writing frameworks: AIDA, PAS, BAB applied to articles
  • GEO elements: TL;DR, Key Takeaways, answer-first

Article Types & Word Count (2025)

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).

Content Creation Workflow

Read the full file on GitHub · 195 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 195 lines · 133 tokens per session scan A 6c8702db8cec

Subscribe to this mod's changes

article-content is a skill published in the GitHub repository dazz/kostja94-marketing-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 133 tokens to every session and 2,563 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to article-content, differing in 0 lines, and is treated as a copy.

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