Ai Content Monetization logo

Ai Content Monetization

Organization
TerminalSkills
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.

Overview

PublisherTerminalSkills
Repositoryskills
Skill nameai-content-monetization
Stars
155
Forks
21
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Ai Content Monetization 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/TerminalSkills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/ai-content-monetization .claude/skills/ai-content-monetization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Content Monetization 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 Ai Content Monetization 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 Ai Content Monetization 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.

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 (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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ai Content Monetization AI 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.

Why use Ai Content Monetization on TypingMind?

Because you install it once and use it with any model. Ai Content Monetization 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 Ai Content Monetization in TypingMind?

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

Which AI models can use Ai Content Monetization?

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 Ai Content Monetization?

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

Is the Ai Content Monetization AI skill free?

Yes. It is published on GitHub by TerminalSkills under the Apache-2.0 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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