Content Machine — Autonomous Affiliate Content Pipeline

What this skill does

Turns keywords into published SEO articles automatically:

1. Research (Lena) — SERP analysis, content gaps, Amazon product check
2. Brief — structured content plan per keyword
3. Write (Felix) — 2500+ word article with AEO/GEO optimization
4. Quality Gate — 20-point automated check (H1, word count, FAQ, images, links)
5. Deploy — Cloudflare Workers/Pages with cache purge

When to use

• Building niche affiliate sites at scale
• Automating content production with multi-agent systems
• Maintaining quality standards across large article batches

Pipeline flow

KEYWORD-BACKLOG.md
    ↓
Lena (Research Agent) → content-brief.md
    ↓
Felix (Content Agent) → article.html
    ↓
Quality Gate (python3 quality_gate.py)
    ↓ PASS
Deploy (wrangler deploy)
    ↓
Sitemap update + Cache purge

AEO/GEO Rules (built-in)

Every article must have: - H2 starts with 2-3 sentence quotable answer (bold) - Min. 1 comparison table with concrete numbers - FAQPage JSON-LD schema - dateModified schema - Neutral ranking (no self-promotional listicles)

Quality Gate checks

• H1 present and keyword-rich
• Min. 2500 words
• FAQPage schema
• 4 images (1 eager + 3 lazy)
• 5+ internal links
• Amazon affiliate links with correct tag
• Author box (last element)
• Meta description (max 155 chars)

Setup

1. Create KEYWORD-BACKLOG.md with target keywords
2. Configure site paths and Amazon affiliate tags
3. Set up Cloudflare API token
4. Run pipeline via heartbeat or cron

File structure

/your-site/
  ARTIKEL-VORLAGE.html   ← Article template
  quality_gate.py        ← Quality checker
  wrangler.toml          ← Cloudflare config
  sitemap.xml            ← Auto-updated

/workspace/
  KEYWORD-BACKLOG.md     ← Keyword queue
  scripts/
    pipeline_controller.py
    post_article.py
    generate_felix_brief.py