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Article Page Generator

Community
kostja94
article-page-generator

When the user wants to create, optimize, or audit a single article/post page (not the blog index). Also use when the user mentions "article page," "blog post page," "single post," "post template," "article structure," "post optimization," "competitor article analysis," "optimize based on top-ranking articles," "analyze ranking articles," "optimize article for SEO," or "article schema." For writing article body copy, use article-content. For blog listing/index page, use blog-page-generator.

Overview

Publisherkostja94
Repositorymarketing-skills
Skill namearticle-page-generator
Stars
979
Forks
137
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kostja94 on GitHub. Read the source before you install it.

Installation

Install the Article Page Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kostja94/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/pages/content/article .claude/skills/article-page-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Article Page Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Article Page Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Article Page Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pages: Article (Single Post)

Guides structure, SEO, and UX for individual article pages — layout, metadata, schema, technical. For article body content (intro, body, conclusion, writing), see article-content. Distinct from blog-page-generator, which covers the blog index/listing page.

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.

Output workflow: Always output in order: 0. Research Phase (keywords, search intent, competitors) → 1. Intent Analysis2. Content Analysis3. Recommendations. Do not skip steps. When Research Phase was performed via web search, show the search results and findings.

Optimization Foundation: Four Inputs

Article analysis and creation rest on four inputs. Gather or infer them before outputting recommendations:

InputPurposeSource
ProductProduct connection, features, use cases, CTA placementproject-context (Sections 1–4, 9–11); article content; web search
KeywordsTarget keyword, primary/secondary placementproject-context Section 6; keyword-research; article
Article intentInformational, commercial, transactional, navigational; drives structure, CTA, SEO depthproject-context Section 6 (target intent); article orientation; content type
Competitor articlesStructure to adopt, content gaps, length target, keyword opportunitiesUser-provided URLs; project-context Section 11; web search

When any input is missing: Proactively ask or search. For article analysis: perform Research Phase (keyword search, search intent, competitor articles) by default — see Research Phase section. For product/keywords/intent, infer from article or prompt user to add project-context.

Before Analysis: Gather Context

1. Product / company context

Use available context to give tailored analysis:

SourceUse for
project-context.mdKeywords (Section 6), competitors (Section 7), content strategy (Section 11), product connection
Article contentExtract product name, features, URLs; infer target keyword and audience
Web searchWhen analyzing a known brand: search for "[product] features", "[product] vs competitors", company positioning — use to validate product connection, suggest missing features/use cases, and improve competitor gap analysis

If no project-context exists, infer from the article and optionally search for company/product info to enrich recommendations.

Research Phase: Keyword, Search Intent, Competitor (Required for Article Analysis)

Lightweight research for article analysis. When analyzing or auditing an article, perform searches and output the results in Section 0. Skip only if user explicitly asks to skip (e.g. "skip search").

  • Keyword: Extract from article (title, H1, H2s, first 100 words); search for opportunities — see keyword-research (extract from article method)
  • Search intent: Informational / Commercial / Transactional / Navigational — see keyword-research Search Intent
  • Competitor articles: Fetch 2–3 top-ranking pages; analyze structure, gaps, length target — see competitor-research (Competitor Article Fetch Workflow)

Output format: See Output Format Section 0 below.

Scope

  • Single article page: One post, one URL (e.g. /blog/how-to-optimize-seo)
  • Not the blog index, category pages, or archive pages — see blog-page-generator for those

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for topics, audience, keywords, and Section 11 (Content/Blog/Article Strategy).

Identify:

  1. Product connection: How does this article support the product? (educate on problem, introduce features, nurture leads)
  2. Keyword basis: Target keyword from product context or keyword research — see keyword-research
  3. Content type: Blog post, guide, tutorial, news, evergreen
  4. Length: Short (<1,000 words), medium (1,000–2,500), long (2,500+)
  5. Intent: Informational, commercial, problem-aware

Product-linked content: Articles should tie to the product (problem it solves, features, use cases). Avoid purely generic content with no product relevance. Link to product/feature pages naturally in conclusion or when context fits.

Article Orientations

Choose structure, SEO depth, and schema based on orientation. See content-marketing for full Article Orientations (Funding/PR, Product update, Guide, News, Evergreen), SEO-driven vs non-SEO-driven, Evergreen vs Timely.

Intent Analysis output: Orientation, primary goal, SEO vs non-SEO, Evergreen vs timely — see Output Format Section 1.

Article Page Structure

SectionPurpose
Hero/HeaderTitle (H1), author, single date (see schema-markup Date display for CTR), reading time (word count ÷ 200; round up), featured image, share buttons
TL;DR or Key TakeawaysSee article-content for content; placed after intro; supports GEO/AI citation
IntroductionSee article-content for hook, length, keyword placement
BodySee article-content for QAE, paragraph length, scannability
ConclusionSee article-content for summary, CTA, product connection
Related posts3–6 contextual links; end-of-article recommendations
Author bioE-E-A-T; credentials, photo, link to author page — see eeat-signals

Featured Image

See image-optimization (Article / Blog hero). Same image for Schema, Open Graph, Twitter Cards; min 1200px wide, absolute URL. See open-graph, twitter-cards.

Social Sharing

  • Add share buttons (X, LinkedIn, Facebook, etc.) — see social-share-generator
  • Place after intro and/or end of article; sticky sidebar for long-form
  • Requires Open Graph and Twitter Cards for rich previews when shared

GEO / AI Optimization

See article-content for TL;DR, Key Takeaways, QAE pattern, answer-first; generative-engine-optimization for full GEO strategy.

Long-Form (1,000+ words)

  • Add table of contents (TOC) after intro — see toc-generator
  • Use jump links for major sections
  • Break text with images, lists, definition boxes, mini-FAQs

SEO Best Practices

Title & Meta

ElementGuideline
Title55 chars; primary keyword near start; power words
Meta description150–160 chars; CTA; primary keyword
H1One per page; matches title; primary keyword naturally

Keyword Placement

  • Title: 1× primary keyword
  • First 100 words: 1× primary keyword
  • Body: 2–3× naturally; avoid stuffing
  • At least one H2: Include primary or related keyword

Content Quality

See article-content for readability, depth, originality, word count by type. E-E-A-T: Author bio, citations, changelog, expert quotes — see eeat-signals.

Common Mistakes to Avoid

  • Multiple H1s; skipping heading levels (H2→H4); keyword stuffing in headings
  • Neglecting conclusion or CTA; no internal links to related content
  • Walls of text; generic "click here" anchors

URL

Use url-slug-generator for slug creation. Key rules:

  • Slug: 3–5 words; under 60 chars; primary keyword; lowercase, hyphens
  • Example: /blog/ai-people-search not /blog/ai-search-engine-finding-people-speed-discovery-outreach
  • Avoid: Date in path (/blog/2025/01/15/article-title); copy-pasting full title

Date Display

See schema-markup (Date display for CTR): show only one visible date; prefer dateModified.

Schema & Open Graph

See schema-markup for Article/BlogPosting/NewsArticle type selection, required properties, JSON-LD example, and date display. Validate with Rich Results Test.

Open Graph for Articles

Use og:type: article for article pages (not website):

html
<meta property="og:type" content="article">
<meta property="og:article:published_time" content="2025-01-15T09:00:00Z">
<meta property="og:article:modified_time" content="2025-02-01T14:30:00Z">
<meta property="og:article:author" content="https://example.com/author/jane">

Internal Linking

ElementGuideline
Volume3–5 contextual links in body + 3–6 in Related posts = 6–11 total per article
First paragraph1 link to pillar or key related content
Body2–4 contextual links; one per major section when relevant
Related posts3–6 end-of-article links; same topic cluster
Anchor textDescriptive (e.g. "SEO checklist for 2025", "how to optimize meta tags"); avoid "click here", "learn more", "read more"
VariationMix exact-match, partial-match, branded anchors; avoid over-optimization
Orphan preventionEvery article has ≥1 internal link from hub/pillar or nav

Outbound Links (External)

ElementGuideline
Volume2–5 external links per article; cite authoritative sources
When to useStatistics, research, definitions, tool comparisons, expert quotes
Anchor textDescriptive (e.g. "Google's Search Quality Guidelines", "SEO study"); link to source
Same URLCounts once per page for link equity; no need to repeat
E-E-A-TExternal links to reputable sources signal trust — see eeat-signals

References / Citations

See article-content for citation format; eeat-signals for E-E-A-T and when to include.

AI-Assisted Content

See article-content for AI-assisted content guidance; eeat-signals for E-E-A-T.

Technical

  • Core Web Vitals: LCP < 1.0s on mobile
  • Images: WebP, compressed; descriptive alt text; keyword in filename when natural
  • IndexNow: For fast indexing of new posts
  • Canonical: Self-referencing canonical on article page

Post-Publication

  • Refresh: Update every 6–12 months; refresh stats, add insights
  • Internal links: Add links from older posts to new articles
  • Monitor: GSC indexing, rankings, Core Web Vitals

Content Analysis

When auditing or optimizing an article, apply the Content Audit Checklist. See article-content for full dimensions.

Output Format

0. Research Phase (output first, when analysis/audit is performed)

When analyzing or auditing an article, output this section before Intent Analysis. Include search sources and findings. If user asked to skip search, note that and infer from article only.

SectionOutput
Keyword SearchPrimary keyword (from article or search), secondary keywords, keyword opportunities (from SERP/competitor analysis). If search was performed: query used, top results observed.
Search IntentIntent for primary keyword (Informational/Commercial/Transactional/Navigational), intent for 2–3 secondary keywords, whether article content matches intent. If search was performed: SERP snippet types observed.
Competitor ArticlesIf searched: 2–3 URLs, brief structure (word count, H2s), content gaps, length target. If user provided URLs: same. See competitor-research for full methodology. If skipped: "Competitor analysis skipped."

1. Intent Analysis (output second)

Before any recommendations, output a brief analysis:

DimensionOutput
OrientationFunding/PR, Product update, Guide, News, Evergreen
Primary goalBrand, PR, education, product adoption, organic traffic, …
SEO vs non-SEOSEO-driven / Non-SEO-driven / Hybrid
Evergreen vs timelyEvergreen / Timely
Implications1–2 sentences: e.g. "Low SEO priority → focus on clarity, shareability" or "SEO-driven → full keyword + GEO optimization"

2. Content Analysis (output third)

Apply the Content Analysis table above. Output a brief assessment per dimension (✅ / ⚠️ / ❌ + one-line note).

3. Recommendations (output fourth, tailored to intent)

Assign priority to each item: P0 (critical), P1 (high), P2 (medium), P3 (nice-to-have). Output as table or list with priority prefix.

PriorityUse when
P0Blocks GEO/SEO; missing core element (TL;DR or Key Takeaways, keyword in first 100 words, schema)
P1Significant impact on traffic, CTR, or conversion (title length, share buttons, CTA)
P2Improves UX or authority (related posts, author bio, internal links)
P3Polish (image optimization, readability tweaks)

Example: [P0] Add TL;DR or Key Takeaways — GEO, AI citation

  • Product connection (how article supports product; where to link) — see article-content
  • Keyword (target from product context or keyword research)
  • Structure for article template (hero, TL;DR or Key Takeaways, intro, body, conclusion, related, author) — content creation: article-content
  • Featured image (dimensions, alt, file size, og:image alignment)
  • GEO elements (TL;DR or Key Takeaways, QAE pattern) — skip or minimal for non-SEO-driven
  • SEO checklist (title, meta, H1, keyword placement) — skip or minimal for non-SEO-driven
  • Schema type and JSON-LD
  • Internal links (3–5 in body + 3–6 Related; anchor text suggestions; avoid "click here")
  • Outbound links (2–5 external; cite stats, research; anchor text for each)
  • References (inline citations vs Reference section; when to add for E-E-A-T)
  • Competitor analysis (when URLs provided or searched): content gaps vs top rankers, structure to adopt, length target, keyword opportunities — see competitor-research for methodology; Before Analysis to prompt user or search

Related Skills

  • article-content: Article body creation; intro, body, conclusion; writing frameworks; Content Audit Checklist
  • eeat-signals: E-E-A-T; author bio, citations, YMYL
  • competitor-research: Content gaps, structure, length target
  • blog-page-generator: Blog index/listing; article pages live within blog
  • keyword-research: Keyword basis for articles
  • schema-markup: Article/BlogPosting/NewsArticle schema
  • howto-section-generator: HowTo step sections; HowTo schema alongside Article
  • heading-structure: H1–H6 structure for article body
  • content-optimization: H2 keywords, tables, lists, multimedia; word count for articles → article-content
  • image-optimization: Article hero/featured image specs
  • internal-links: Related posts, contextual links
  • open-graph, twitter-cards: Social previews for articles
  • generative-engine-optimization: GEO strategy; AI citation optimization

Frequently asked questions

What does the Article Page Generator AI skill do?

When the user wants to create, optimize, or audit a single article/post page (not the blog index). Also use when the user mentions "article page," "blog post page," "single post," "post template," "article structure," "post optimization," "competitor article analysis," "optimize based on top-ranking articles," "analyze ranking articles," "optimize article for SEO," or "article schema." For writing article body copy, use article-content. For blog listing/index page, use blog-page-generator.

Why use Article Page Generator on TypingMind?

Because you install it once and use it with any model. Article Page Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Article Page Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kostja94/marketing-skills/tree/main/skills/pages/content/article. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Article Page Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Article Page Generator?

As many as you like. As long as a model supports skills, you can use Article Page Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Article Page Generator AI skill free?

Yes. It is published on GitHub by kostja94 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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