ConvoYield is a real-time revenue intelligence layer that transforms every bot interaction into a yield-bearing financial instrument through behavioral economics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install opencrawl
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install opencrawl using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ConvoYield?
ConvoYield is a sophisticated Conversational Yield Optimization Engine designed to provide AI bots with a real-time revenue intelligence layer. By treating every interaction as a financial instrument, this tool identifies sentiment arbitrage, tracks micro-conversions, and forecasts potential dollar-value yield without the need for external APIs or LLM tokens. It is part of the ecosystem of Openclaw Skills that empowers developers to build more profitable and strategic conversational agents.
Built entirely in Python with zero external dependencies, ConvoYield operates with sub-millisecond latency. It applies behavioral economics principles to analyze user intent, emotional gaps, and engagement momentum, allowing developers to implement strategic plays like anchoring or urgency closes directly within their message handlers. This ensures that every interaction is measured not just by text accuracy, but by its commercial potential.
ConvoYield Use Cases
- Identifying competitor displacement opportunities when users express frustration with current enterprise solutions.
- Tracking micro-conversions such as email captures, budget reveals, and pain point articulations in real-time.
- Real-time yield forecasting to prioritize high-value leads within a chatbot environment.
- Improving user engagement by measuring momentum and vocabulary richness trends.
- Implementing behavioral economics strategies using the built-in Play Caller engine to move users through the sales funnel.
How ConvoYield Works
- The engine receives a user message via the process_user_message method within the application logic.
- Five parallel engines analyze the raw text for sentiment gaps, conversion signals, and momentum without consuming external tokens.
- The Sentiment Arbitrage Engine detects commercial opportunities like frustration capture, excitement amplification, or urgency premiums.
- The Yield Forecaster predicts the total dollar value based on the conversation phase, ranging from opening to closing.
- The Play Caller recommends a specific strategy (e.g., loss framing or social proof) and tone for the bot's response.
- The bot records its response to maintain state, allowing yield to compound as the conversation depth increases.
ConvoYield Setup
To get started with ConvoYield, ensure you have Python installed on your system. This skill is part of the Openclaw Skills collection and requires no external API keys or heavy infrastructure.
First, install the package via your preferred package manager:
pip install convoyield
Initialize the engine in your script and begin processing messages:
from convoyield import ConvoYield
engine = ConvoYield(base_conversation_value=50.0)
result = engine.process_user_message("I am looking for a better solution than my current provider.")
Run the test suite to verify the installation:
python -m pytest tests/ -v
ConvoYield Data Schema & Taxonomy
ConvoYield organizes data through a structured internal taxonomy focused on commercial outcomes and behavioral triggers. The state is managed via dedicated models that track the lifecycle of a conversation.
| Data Component | Description | Key Metrics |
|---|---|---|
| Sentiment Arbitrage | Emotional gap detection | Pattern Type, Value Signal ($15-$45+) |
| Micro-Conversions | 12 hidden value types | Capture Rate, Signal Strength |
| Momentum | Engagement trend scoring | Score (-1.0 to +1.0), Labels (Surging/Declining) |
| Yield Forecast | Predicted dollar value | Phase Multiplier, Risk Level (0.0-1.0) |
| Play Recommendation | Strategic response | Play Name, Recommended Tone |
ConvoYield Advanced Features
- Multi-stage Yield Compounding: Value increases dynamically as the conversation progresses through discovery, engagement, and negotiation phases.
- Behavioral Economics Playbook: Includes 20 standard plays such as Anchoring, Loss Framing, Choice Architecture, and Momentum Recovery.
- Zero-Latency Architecture: Analysis runs locally using pattern matching and heuristics in less than 1ms per message.
- Industry-Specific Extensions: Support for specialized premium playbooks in SaaS, E-commerce, Real Estate, and Healthcare.
- Comprehensive Telemetry: Built-in cloud analytics client for tracking yield performance and sentiment trends across multiple Openclaw Skills instances.
SKILL.md
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