AI Content Monetization — Passive Income with AI
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).
Overview
This skill provides a framework for developing automated content creation and monetization systems. Drawing inspiration from popular open-source projects like MoneyPrinterV2, it guides users through the entire workflow of generating digital assets and capturing revenue. The skill, hosted in the TerminalSkills/skills repository, covers multi-channel distribution strategies across platforms such as YouTube, newsletters, and blogs. It focuses on integrating AI agents to handle research, content generation, and SEO optimization. By leveraging Python and various APIs, the skill enables the construction of scalable pipelines designed for passive income generation. It is compatible with major AI agents, including Claude and Gemini, facilitating the deployment of sophisticated marketing automation tools.
Use Cases
Install Notes
# Review source first
open https://github.com/TerminalSkills/skills/blob/main/skills/ai-content-monetization/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
Users should exercise caution when integrating third-party APIs and managing automated posting credentials. Ensure that all API keys are stored securely and monitor automated outputs to comply with platform terms of service and prevent the generation of low-quality or prohibited content.
Related Skills
Slack GIF Creator
anthropics/skills
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack.
A/B Test Setup
TerminalSkills/skills
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
Ad Campaign Optimization
TerminalSkills/skills
Optimize paid advertising across platforms — Google Ads, Meta (Facebook/Instagram), TikTok, LinkedIn, Twitter/X. Improve ROAS, reduce CAC, and scale winning campaigns.
AI Content Detection
TerminalSkills/skills
Detect whether text was written by a human or generated by AI using a multilayer approach: 1. Rulebased analysis — linguistic patterns and statistical indicators 2. LLMasjudge — use Claude to score content against a detection ruleset 3. External APIs — optional GPTZero or Originality.ai for corroboration