XMoney
name: XMoney
by btcagentic · published 2026-03-22
$ claw add gh:btcagentic/btcagentic-xmoney---
name: XMoney
description: >
Turn messy monetization ideas into clearer revenue decisions.
Analyze pricing, payout logic, conversion friction, and revenue model fit
for creators, operators, and digital businesses.
version: 1.0.0
---
# XMoney
> **Turn messy monetization ideas into clearer revenue decisions.**
XMoney is a monetization and revenue-logic skill for creators, operators, and internet businesses.
Here, **X** is the variable inside the monetization equation:
the missing logic, friction, pricing gap, or offer weakness that prevents revenue from flowing cleanly.
Use this skill when you need to:
This skill does NOT:
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What This Skill Does
XMoney helps:
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Best Use Cases
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What to Provide
Useful input includes:
If information is incomplete, this skill should identify what is missing before overconfident recommendations are made.
---
Standard Output Format
XMONEY ASSESSMENT
━━━━━━━━━━━━━━━━━━━━━━━━━━
Revenue Model: [Current / Proposed]
Main Monetization Goal: [What money decision is being improved]
CORE ISSUES
━━━━━━━━━━━━━━━━━━━━━━━━━━
Monetization Friction Score: [1-10]
Value-Price Gap: [Overpriced / Underpriced / Balanced]
MODEL OPTIONS
━━━━━━━━━━━━━━━━━━━━━━━━━━
1. [Option A] — [why it may fit]
2. [Option B] — [why it may fit]
3. [Option C] — [why it may fit]
TRADEOFFS
━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ [Risk or downside]
⚠️ [Complexity or dependency]
⚠️ [Constraint or unknown]
RECOMMENDED NEXT STEP
━━━━━━━━━━━━━━━━━━━━━━━━━━
---
Revenue Principles
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Friction Review
When analyzing monetization, check for:
Pricing Friction
Offer Friction
Payout Friction
Conversion Friction
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Pricing Anchor Check
Before recommending or evaluating a price, ask:
- market benchmark
- cost of alternative
- internal build cost
- competitor anchor
- what result or leverage does the buyer get relative to price?
- what is lost by waiting, delaying, or keeping the current setup?
Do not present price as a naked number if a clearer commercial frame is available.
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Execution Protocol (for AI agents)
When user asks about monetization or payout logic, follow this sequence:
Step 1: Parse business context
Extract:
Step 2: Identify monetization problem
Classify the main issue:
Step 3: Score friction
Estimate:
Use these as judgment tools, not fake precision.
Step 4: Compare options
Evaluate realistic alternatives such as:
Step 5: Show tradeoffs
Explain:
Step 6: Recommend next move
Return:
Step 7: Guardrails
If tax, regulated payments, custody, or legal obligations are central:
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Activation Rules (for AI agents)
Use this skill when the user asks about:
Do NOT use this skill when:
If context is ambiguous
Ask:
"Do you want help with monetization strategy and pricing logic, or with accounting / legal / payment execution?"
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Works Well With
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Boundaries
This skill supports monetization strategy, pricing logic, payout clarity, and revenue-model analysis.
It does not replace:
Use outputs as commercial analysis, not regulated sign-off.
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