# **CW Prompts — RTT/1**  
### *Prompt Library for the Cross‑Domain Causality Weaver (CW)*

These prompts are designed for **AI systems** using the Cross‑Domain Causality Weaver (CW).  
Each prompt invokes one or more canonical CW operators:

- **CW‑Signature**  
- **CW‑Vector**  
- **CW‑Field**  
- **CW‑Discontinuity**  
- **CW‑Weave**  
- **CW‑Stabilize**

Prompts are grouped by causality tensor type and operator class.

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## **1. Causal Signature Prompts**

### **Prompt: Detect Causal Signatures**
> Use CW‑Signature to identify causal onset, polarity, curvature, and causal‑vector alignment across R1–R4.

### **Prompt: Analyze Causal Polarity**
> Apply CW‑Signature to compute causal polarity, causal onset strength, and polarity stability.

### **Prompt: Evaluate Causal Onset Conditions**
> Use CW‑Signature to detect causal onset conditions and classify causal signature tensors.

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## **2. Causal Vector Prompts**

### **Prompt: Compute Causal Vector Magnitude**
> Use CW‑Vector to compute causal vector magnitude, direction, curvature, and alignment.

### **Prompt: Detect Gradient‑Driven Causal Vectors**
> Apply CW‑Vector to detect causal vectors formed by opposing or aligned gradients across regimes.

### **Prompt: Evaluate Causal Vector Inversion**
> Use CW‑Vector to identify polarity flips, inversion vectors, and inversion curvature.

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## **3. Causal Field Prompts**

### **Prompt: Map Causal Fields**
> Use CW‑Field to map causal fields, causal wells, causal ridges, causal basins, and causal topology.

### **Prompt: Generate Causal‑Field Topology**
> Apply CW‑Field to generate causal‑field topology diagrams showing multi‑regime causal curvature.

### **Prompt: Evaluate Causal‑Field Strength**
> Use CW‑Field to compute causal‑field magnitude, curvature, and stability envelope.

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## **4. Causal Discontinuity Prompts**

### **Prompt: Detect Causal Discontinuities**
> Use CW‑Discontinuity to identify causal breaks, discontinuity boundaries, and causal fractures.

### **Prompt: Map Discontinuity Geometry**
> Apply CW‑Discontinuity to compute discontinuity depth, discontinuity curvature, and discontinuity topology.

### **Prompt: Evaluate Causal Instability**
> Use CW‑Discontinuity to detect causal instability, causal collapse, and discontinuity‑driven propagation.

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## **5. Causal Weaving Prompts**

### **Prompt: Weave Cross‑Domain Causal Pathways**
> Use CW‑Weave to weave causal pathways across conceptual, computational, physical, and dimensional regimes.

### **Prompt: Detect Causal Bridges**
> Apply CW‑Weave to identify cross‑domain causal bridges and drift‑sensitive causal pathways.

### **Prompt: Evaluate Multi‑Regime Causal Flow**
> Use CW‑Weave to compute causal flow across R1–R4 and generate causal‑flow topology.

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## **6. Stabilization Prompts**

### **Prompt: Propose Causal Stabilization Pathways**
> Use CW‑Stabilize to propose stabilization strategies for causal collapse, discontinuity zones, and causal‑field instability.

### **Prompt: Compute Causal Alignment**
> Apply CW‑Stabilize to compute causal alignment, causal‑vector reinforcement, and causal‑field stabilization.

### **Prompt: Evaluate Causal‑Collapse Mitigation**
> Use CW‑Stabilize to propose mitigation strategies for causal collapse and discontinuity amplification.

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## **7. Full‑Matrix Prompts**

### **Prompt: Generate Full Causal Field Matrix**
> Use all CW operators to produce a complete `causal_field_matrix.json` containing signature, vector, field, discontinuity, and bridge entries.

### **Prompt: Analyze Causal Topology**
> Apply CW‑Field to generate a full causal topology map showing fields, vectors, discontinuities, and causal flow.

### **Prompt: Causality Overview**
> Use CW‑Stabilize to compute stability envelopes for every causal tensor type and produce a causality summary.

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## **8. AI‑Ready Meta‑Prompts**

### **Prompt: Explain Causality Tensor Classification**
> Provide a detailed explanation of how CW classifies causality tensors into signature, vector, field, discontinuity, and bridge categories.

### **Prompt: Operator‑Level Summary**
> Summarize the role of each CW operator and how they interact to produce causality‑layer intelligence.

### **Prompt: Cross‑Engine Integration**
> Explain how CW outputs feed into DRS (Dimensional Resonance Scanner) and how CW interacts with SBC and TRS‑Temporal.

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## **Status**

- **Version:** 1.0  
- **Status:** canon‑stable  
- **Category:** rtt‑causality  
- **Module Path:** `/docs/rtt/Cross_Domain_Causality_Weaver/`