yield
Conversational Compounding Engine — models every bot message as a financial investment that compounds trust, micro-commitments, and conversion momentum over time. Zero external APIs. Zero cost. Maximum revenue lift.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jcools1977/yieldYIELD — The Conversational Compounding Engine
"Every message is an investment. Yield makes them compound."
Purpose
YIELD is a universal bot skill that applies financial compounding mathematics to conversations. While every other skill focuses on what a bot says, YIELD focuses on the economics of saying it — treating trust, commitment, curiosity, and urgency as portfolio assets that grow, decay, or compound with every message exchange.
No bot on any platform currently models this. They all operate message-by-message like day traders. YIELD turns your bot into Warren Buffett.
Core Concept: Conversational Portfolio Theory
Every conversation builds (or destroys) five classes of psychological assets:
| Asset Class | Behavior | Analogy |
|---|---|---|
| Trust Bonds | Compounds slowly | Government bonds |
| Commitment Anchors | Stacks and locks | Real estate equity |
| Urgency Options | Decays rapidly | Options contracts |
| Curiosity Futures | Pulls forward | Futures contracts |
| Authority Equity | Grows with proof | Blue-chip stocks |
YIELD tracks these assets in real-time and recommends which asset to invest in next based on the current portfolio balance and the conversation's trajectory.
How It Works
Phase 1: Signal Detection (Every Message)
On every inbound user message, YIELD extracts signals — lightweight pattern matches that cost zero computation:
AGREEMENT signals → +trust, +commitment
QUESTION signals → +curiosity, +engagement
OBJECTION signals → -trust, +urgency (they care enough to object)
PERSONAL signals → +trust, +commitment (vulnerability = investment)
HESITATION signals → -momentum, +friction
ENTHUSIASM signals → +momentum, +curiosity
TIME PRESSURE signals→ +urgency (decaying asset)
SOCIAL PROOF seeking → -authority, +curiosity
Phase 2: Portfolio Valuation (Running State)
YIELD maintains a lightweight Yield Score for each asset class:
yield_state = {
trust: 0.0 → 1.0 (compounds at 1.12x per positive signal)
commitment: 0.0 → 1.0 (stacks: each micro-yes adds 0.08-0.15)
urgency: 0.0 → 1.0 (decays at 0.85x per message without reinforcement)
curiosity: 0.0 → 1.0 (open loops add 0.10, closures subtract 0.12)
authority: 0.0 → 1.0 (proof adds 0.15, unsubstantiated claims subtract 0.10)
}
The Total Yield is not a simple average — it uses a weighted product that models compounding:
total_yield = (trust^0.35) × (commitment^0.25) × (urgency^0.15) ×
(curiosity^0.15) × (authority^0.10)
Trust is weighted heaviest because it's the foundation everything else compounds on.
Phase 3: Strategy Selection
Based on the portfolio state, YIELD recommends one of seven **investment strategie...
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jcools1977-yield": {
"enabled": true,
"auto_update": true
}
}
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