# smartmonetize--ai-powered-revenue-growth-engine

> smartmonetize--ai-powered-revenue-growth-engine — thom899g-smartmonetize-ai-powered-revenue-growth-engine. Use this tool when you need to diagnose and optimize revenue growth for products with high attention but low paid conversion. It solves the problem of identifying and addressing revenue leaks through a command-line interface (CLI) and public issue tracking. The smartmonetize engine takes product data as input and outputs actionable insights to boost revenue, ideal for use cases where products have significant attention but struggle to convert to paid sales.

Canonical page: https://skillsregistry.net/skills/thom899g-smartmonetize-ai-powered-revenue-growth-engine  
JSON: https://api.skillsregistry.net/v1/skills/thom899g-smartmonetize-ai-powered-revenue-growth-engine

## Description

Revenue triage CLI + public fit-check issue for products with attention but no paid conversion.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/thom899g/smartmonetize--ai-powered-revenue-growth-engine)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "thom899g-smartmonetize-ai-powered-revenue-growth-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thom899g-smartmonetize-ai-powered-revenue-growth-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thom899g-smartmonetize-ai-powered-revenue-growth-engine/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt