# **TRS‑Temporal Prompts — RTT/1**  
### *Prompt Library for the Temporal Regime Sequencer (TRS‑Temporal)*

These prompts are designed for **AI systems** using the Temporal Regime Sequencer (TRS‑Temporal).  
Each prompt invokes one or more canonical TRS‑Temporal operators:

- **TRS‑Seq**  
- **TRS‑Gradient**  
- **TRS‑Field**  
- **TRS‑Instability**  
- **TRS‑Transition**  
- **TRS‑Stabilize**

Prompts are grouped by temporal tensor type and operator class.

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## **1. Temporal Signature Prompts**

### **Prompt: Detect Temporal Signatures**
> Use TRS‑Seq to identify temporal onset, polarity, harmonic structure, and temporal‑vector alignment across R1–R4.

### **Prompt: Analyze Temporal Polarity**
> Apply TRS‑Seq to compute temporal polarity, onset strength, and polarity stability.

### **Prompt: Evaluate Temporal Onset Conditions**
> Use TRS‑Seq to detect temporal onset conditions and classify temporal signature tensors.

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## **2. Temporal Gradient Prompts**

### **Prompt: Compute Temporal Gradient**
> Use TRS‑Gradient to compute temporal gradient magnitude, direction, and curvature.

### **Prompt: Detect Gradient Alignment**
> Apply TRS‑Gradient to detect harmonic alignment, gradient sensitivity, and drift‑sensitive gradient behavior.

### **Prompt: Evaluate Gradient Inversion**
> Use TRS‑Gradient to identify polarity flips, inversion bands, and inversion curvature.

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## **3. Temporal Field Prompts**

### **Prompt: Map Temporal Fields**
> Use TRS‑Field to map temporal fields, temporal wells, temporal ridges, temporal basins, and temporal topology.

### **Prompt: Generate Temporal‑Field Topology**
> Apply TRS‑Field to generate temporal‑field topology diagrams showing multi‑regime temporal curvature.

### **Prompt: Evaluate Temporal‑Field Strength**
> Use TRS‑Field to compute temporal‑field magnitude, curvature, and transition boundaries.

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## **4. Temporal Instability Prompts**

### **Prompt: Detect Temporal Instability Zones**
> Use TRS‑Instability to identify instability zones, temporal collapse, and instability amplification.

### **Prompt: Map Instability Geometry**
> Apply TRS‑Instability to compute instability depth, instability curvature, and instability topology.

### **Prompt: Evaluate Instability‑Driven Collapse**
> Use TRS‑Instability to detect collapse risk and instability escalation.

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## **5. Temporal Transition Prompts**

### **Prompt: Identify Temporal Transition Points**
> Use TRS‑Transition to detect temporal transition points and regime‑shift boundaries.

### **Prompt: Compute Cross‑Domain Temporal Transitions**
> Apply TRS‑Transition to identify transitions formed across conceptual, computational, physical, and dimensional regimes.

### **Prompt: Evaluate Drift‑Sensitive Temporal Transitions**
> Use TRS‑Transition to detect drift‑sensitive transitions and drift‑aligned temporal curvature.

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## **6. Stabilization Prompts**

### **Prompt: Propose Temporal Stabilization Pathways**
> Use TRS‑Stabilize to propose stabilization strategies for temporal collapse, instability escalation, and temporal‑field instability.

### **Prompt: Compute Temporal Alignment**
> Apply TRS‑Stabilize to compute temporal alignment, vector reinforcement, and field stabilization.

### **Prompt: Evaluate Temporal‑Collapse Mitigation**
> Use TRS‑Stabilize to propose mitigation strategies for temporal collapse and instability amplification.

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## **7. Full‑Matrix Prompts**

### **Prompt: Generate Full Temporal Field Matrix**
> Use all TRS‑Temporal operators to produce a complete `temporal_field_matrix.json` containing signature, gradient, field, instability, and transition entries.

### **Prompt: Analyze Temporal Topology**
> Apply TRS‑Field to generate a full temporal topology map showing fields, gradients, instability zones, and temporal flow.

### **Prompt: Temporal Overview**
> Use TRS‑Stabilize to compute stability envelopes for every temporal tensor type and produce a temporal summary.

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## **8. AI‑Ready Meta‑Prompts**

### **Prompt: Explain Temporal Tensor Classification**
> Provide a detailed explanation of how TRS‑Temporal classifies temporal tensors into signature, gradient, field, instability, and transition categories.

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

### **Prompt: Cross‑Engine Integration**
> Explain how TRS‑Temporal outputs feed into CW (Causality Weaver), DRS (Dimensional Resonance Scanner), SBC, and other RTT engines.

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## **Status**

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