개요

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.


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.


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.


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.


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.


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.


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.


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.


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.


Status#

  • Version: 1.0
  • Status: canon‑stable
  • Category: rtt‑causality
  • Module Path: /docs/rtt/Cross_Domain_Causality_Weaver/

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