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Get Started Free →Automate online content creation and monetization with AI — blog posts, videos, social media, affiliate marketing, and digital products. Use when: building passive income streams with AI, automating content marketing, scaling content production.
.claude/skills/terminalskills-ai-content-monetization/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 46% | 0% |
| case-03 | ✓→✓ | = Same ✓ | 48% | 0% |
| case-04 | ✓→✓ | = Same ✓ | 77% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 88% | 0% |
Build automated content creation and monetization systems using AI. Cover the full pipeline from content generation to revenue collection across multiple channels: blogs, YouTube, social media, newsletters, and digital products. Inspired by MoneyPrinterV2 (25k+ stars).
Revenue model: AdSense ($5-30 RPM) + affiliate links (5-15% commission)
pythonimport anthropic def find_profitable_niche(): """Use AI to identify profitable blog niches.""" client = anthropic.Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1000, messages=[{"role": "user", "content": """ Suggest 5 blog niches that meet ALL criteria: 1. High affiliate commission potential (>$50 avg product price) 2. Evergreen search demand (not seasonal) 3. Low-medium competition (not dominated by big brands) 4. Content can be AI-generated without expert credentials 5. Clear monetization path (affiliate + ads) For each: niche, example keywords, affiliate programs, estimated RPM. """}] ) return response.content[0].text
pythondef generate_blog_post(title, keyword, affiliate_products): """Generate an SEO-optimized blog post with affiliate links.""" client = anthropic.Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=4000, messages=[{"role": "user", "content": f""" Write a 2000-word blog post: Title: {title} Target keyword: {keyword} Products to mention: {affiliate_products} Requirements: - SEO: Use keyword in H1, first paragraph, 2-3 H2s, conclusion - Structure: Intro > Problem > Solution > Product reviews > FAQ > Conclusion - Include [AFFILIATE_LINK:product_name] placeholders for each product - Write naturally, add personal touches - Include a comparison table and clear CTA """}] ) return response.content[0].text def insert_affiliate_links(content, link_map): """Replace placeholders with actual affiliate links.""" for product, link in link_map.items(): placeholder = f'[AFFILIATE_LINK:{product}]' html_link = f'<a href="{link}" rel="nofollow sponsored">{product}</a>' content = content.replace(placeholder, html_link) return content
pythonimport requests def publish_to_wordpress(title, content, wp_url, wp_user, wp_app_password): """Publish blog post to WordPress via REST API.""" endpoint = f"{wp_url}/wp-json/wp/v2/posts" data = { "title": title, "content": content, "status": "publish", "meta": {"_yoast_wpseo_metadesc": content[:155]} } response = requests.post(endpoint, json=data, auth=(wp_user, wp_app_password)) return response.json().get('link')
Revenue model: Sponsorships ($50-500/issue) + digital products ($10-50)
pythondef generate_newsletter(niche, trending_topics): """Generate a weekly newsletter issue.""" client = anthropic.Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=2000, messages=[{"role": "user", "content": f""" Write a newsletter issue for a {niche} newsletter. Trending topics this week: {trending_topics} Format: - Catchy subject line (drives opens) - Personal intro (2-3 sentences, conversational) - Main story: deep dive on #1 trend (300 words) - Quick hits: 3-5 other trends (2-3 sentences each) - Tool of the week with affiliate context - One actionable tip readers can use today - CTA: reply / share with a friend """}] ) return response.content[0].text
pythondef repurpose_blog_to_social(blog_post, title): """Turn one blog post into 5+ social media posts.""" client = anthropic.Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=2000, messages=[{"role": "user", "content": f""" Blog post: {blog_post[:2000]} Title: {title} Create posts for: Twitter/X thread (5 tweets), LinkedIn (200 words), Reddit (value-first), Instagram carousel (8 slides), TikTok script (30s). """}] ) return response.content[0].text
pythonimport schedule, time def daily_content_pipeline(): """Run the full content pipeline daily.""" post = generate_blog_post(today_topic, today_keyword, products) post = insert_affiliate_links(post, affiliate_map) publish_to_wordpress(today_title, post, WP_URL, WP_USER, WP_PASS) repurpose_blog_to_social(post, today_title) schedule.every().day.at("06:00").do(daily_content_pipeline) while True: schedule.run_pending() time.sleep(60)
A content creator in the home office niche sets up the full pipeline:
python# 1. Find the niche and seed keywords niche_data = find_profitable_niche() # Returns: "Home Office Ergonomics" — affiliate programs: Amazon Associates, # Autonomous.ai (8% commission), Secretlab (10% commission), avg RPM: $18 # 2. Generate first batch of posts posts = [ ("Best Standing Desks Under $500 in 2025", "best standing desks", ["Autonomous SmartDesk", "FlexiSpot E7"]), ("Herman Miller Aeron vs Secretlab Titan: Honest Review", "aeron vs titan", ["Herman Miller Aeron", "Secretlab Titan"]), ] for title, keyword, products in posts: content = generate_blog_post(title, keyword, products) content = insert_affiliate_links(content, { "Autonomous SmartDesk": "https://autonomous.ai/?ref=myblog", "Secretlab Titan": "https://secretlab.co/?ref=myblog", }) url = publish_to_wordpress(title, content, "https://ergodesk.blog", "admin", "xxxx-xxxx") print(f"Published: {url}") repurpose_blog_to_social(content, title)
A solo creator runs a 5,000-subscriber newsletter monetized through sponsorships and affiliate links:
python# Generate this week's issue newsletter = generate_newsletter( niche="AI productivity tools", trending_topics=["Claude Code launch, Cursor 1.0 release, NotebookLM updates"] ) # Output includes: subject line, personal intro, deep-dive on Claude Code, # quick hits on Cursor and NotebookLM, tool-of-the-week (Granola AI, $25/mo # with 20% affiliate commission), actionable prompt engineering tip, CTA. # Send via Resend import resend resend.api_key = os.environ["RESEND_API_KEY"] resend.Emails.send({ "from": "newsletter@aitools-weekly.com", "to": "audience_list_id", "subject": newsletter.split('\n')[0], "html": newsletter }) # Revenue: $300/issue sponsorship + ~$150/month affiliate = ~$1,500/month
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 19,585 | 13,048 | -33% | 1 | 1 | 0% | 3,878 | 5,184 | +34% | 0 | 0 | — |
case-02 | pass→pass | 17,014 | 15,908 | -7% | 1 | 1 | 0% | 3,436 | 5,005 | +46% | 0 | 0 | — |
case-03 | pass→pass | 13,740 | 9,691 | -29% | 1 | 1 | 0% | 2,822 | 4,169 | +48% | 0 | 0 | — |
case-04 | pass→pass | 12,988 | 11,713 | -10% | 1 | 1 | 0% | 2,508 | 4,443 | +77% | 0 | 0 | — |
case-05 | pass→pass | 11,232 | 7,235 | -36% | 1 | 1 | 0% | 1,970 | 3,708 | +88% | 0 | 0 | — |
case-06 | pass→pass | 9,484 | 4,333 | -54% | 1 | 1 | 0% | 1,312 | 2,939 | +124% | 0 | 0 | — |
case-07 | fail→fail | 15,414 | 8,867 | -42% | 1 | 1 | 0% | 2,595 | 4,156 | +60% | 0 | 0 | — |
case-08 | pass→pass | 3,317 | 2,569 | -23% | 1 | 1 | 0% | 627 | 2,659 | +324% | 0 | 0 | — |
case-09 | pass→pass | 8,499 | 5,259 | -38% | 1 | 1 | 0% | 1,609 | 3,268 | +103% | 0 | 0 | — |
case-10 | pass→pass | 3,085 | 2,959 | -4% | 1 | 1 | 0% | 489 | 2,922 | +498% | 0 | 0 | — |
case-11 | pass→pass | 11,426 | 5,581 | -51% | 1 | 1 | 0% | 1,961 | 3,259 | +66% | 0 | 0 | — |
case-12 | pass→pass | 5,026 | 3,644 | -27% | 1 | 1 | 0% | 852 | 2,885 | +239% | 0 | 0 | — |
case-13 | pass→pass | 4,696 | 3,413 | -27% | 1 | 1 | 0% | 818 | 2,912 | +256% | 0 | 0 | — |
case-14 | pass→pass | 2,555 | 3,617 | +42% | 1 | 1 | 0% | 418 | 2,922 | +599% | 0 | 0 | — |
case-15 | pass→pass | 6,287 | 6,637 | +6% | 1 | 1 | 0% | 1,239 | 3,371 | +172% | 0 | 0 | — |
case-16 | pass→pass | 4,752 | 4,461 | -6% | 1 | 1 | 0% | 927 | 2,946 | +218% | 0 | 0 | — |
case-17 | pass→pass | 7,845 | 8,228 | +5% | 1 | 1 | 0% | 1,450 | 3,906 | +169% | 0 | 0 | — |
case-18 | pass→pass | 7,038 | 4,403 | -37% | 1 | 1 | 0% | 1,289 | 3,089 | +140% | 0 | 0 | — |
case-19 | pass→pass | 2,709 | 3,525 | +30% | 1 | 1 | 0% | 388 | 2,888 | +644% | 0 | 0 | — |
case-20 | pass→pass | 11,988 | 10,851 | -9% | 1 | 1 | 0% | 2,488 | 4,269 | +72% | 0 | 0 | — |
case-21 | pass→pass | 8,048 | 5,292 | -34% | 1 | 1 | 0% | 1,504 | 3,280 | +118% | 0 | 0 | — |
case-22 | pass→pass | 6,517 | 4,892 | -25% | 1 | 1 | 0% | 1,208 | 3,176 | +163% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +5 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.