ai-content-monetization
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.
Best use case
ai-content-monetization is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using ai-content-monetization should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-content-monetization/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-content-monetization Compares
| Feature / Agent | ai-content-monetization | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AI Content Monetization — Passive Income with AI
## Overview
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](https://github.com/FujiwaraChoki/MoneyPrinterV2) (25k+ stars).
## Instructions
### Strategy 1: AI Blog with SEO + Affiliate Revenue
**Revenue model:** AdSense ($5-30 RPM) + affiliate links (5-15% commission)
#### Niche Selection with Keyword Research
```python
import 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
```
#### Automated Blog Post Generation
```python
def 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
```
#### Auto-Publish to WordPress
```python
import 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')
```
### Strategy 2: AI Newsletter + Digital Products
**Revenue model:** Sponsorships ($50-500/issue) + digital products ($10-50)
```python
def 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
```
### Strategy 3: Social Media Content Syndication
```python
def 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
```
### Daily Automation Schedule
```python
import 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)
```
## Examples
### Example 1: Launch a Home Office Gear Affiliate Blog
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)
```
### Example 2: Weekly AI Tools Newsletter with Sponsorship Revenue
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
```
## Guidelines
- **Disclose affiliate relationships** — always mark sponsored content and affiliate links per FTC guidelines
- **Quality over quantity** — AI-generated content still needs human review for accuracy and brand voice
- **Diversify revenue streams** — do not rely on a single channel; combine blog + newsletter + social
- **Track ROI per channel** — use UTM parameters and a simple revenue database to measure what works
- **Respect platform terms** — YouTube, TikTok, and Reddit each have rules about AI-generated content
- **Build an email list early** — owned audience is more valuable than platform-dependent traffic
## References
- [MoneyPrinterV2](https://github.com/FujiwaraChoki/MoneyPrinterV2) — original inspiration (25k stars)
- [Resend](https://resend.com/) — email API for newsletters
- [WordPress REST API](https://developer.wordpress.org/rest-api/) — auto-publishingRelated Skills
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