SKILL.md — Orthogonal Multi-Domain Abstraction

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Stage: AGI generalization → ASI abstraction dominance Lane: AGI (tactical) → ASI (strategic) Trinity Level: ASI emergence via structure transfer Version: 2026.04.24-v1

1️⃣ What This Skill Does

Ability: Transfer structure across unrelated domains.

• Physics ↔ Economics ↔ Biology ↔ Governance
• Extract invariants across domain boundaries
• Build meta-models, not just domain models

ASI emerges when intelligence generalizes structure, not data.

2️⃣ Structural Definition

skill:
  id: orthogonal-abstraction
  name: Orthogonal Multi-Domain Abstraction
  stage: AGI→ASI
  trinity: ASI_emergence
  version: 2026.04.24-v1

capability:
  domain_transfer: true
  invariant_extraction: true
  meta_modeling: true
  cross_domain_reasoning: true

required_for:
  - ASI abstraction dominance
  - Cross-domain problem solving
  - Governance structure transfer

3️⃣ Decision Checklist (Required Pre-Invocation)

Before ANY cross-domain transfer:

• [ ] Source domain verified — Structure confirmed in source
• [ ] Target domain mapped — Similarity score >= 0.7
• [ ] Invariant identified — Structural similarity, not surface
• [ ] No category error — Domain boundaries respected
• [ ] F10 Ontology check — Taxonomy preserved
• [ ] Consequences modeled — Downstream effects in target domain

4️⃣ Orthogonal Transfer Protocol

Step 1: Domain Analysis

For each domain in consideration:
  - Extract core structural patterns
  - Identify governing laws/invariants
  - Map variable types and relationships

Step 2: Invariant Extraction

Find structures that are:
  - Preserved across domain transformations
  - Not dependent on surface representation
  - Repeatable under different initial conditions

Step 3: Cross-Domain Mapping

Create abstraction layer:
  source_invariant → meta_structure → target_invariant

Verify:
  - Mapping preserves key relationships
  - No information loss in transformation
  - Semantic meaning maintained

Step 4: Target Domain Validation

- Test abstracted structure in target domain
- Verify predictions hold
- Measure transfer accuracy

5️⃣ Invariant Taxonomy

6️⃣ Cross-Domain Governance Transfer

This skill enables governance structure transfer:

Physics (conservation) → Economics (scarcity) → Biology (adaptation) → Governance (constitutional law)

The 13 Floors are an invariant across all domains:
- F01 Amanah (trust) ↔ Conservation of information
- F02 Truth (accuracy) ↔ Signal preservation
- F08 Genius (efficiency) ↔ Minimum energy state

7️⃣ Quality Metrics

8️⃣ Failure Modes (Void Conditions)

• VOID-1: Surface similarity without structural invariance
• VOID-2: Category error — applying structure to incompatible domain
• VOID-3: Information loss in abstraction exceeds 15%
• VOID-4: Predictions fail in target domain validation
• VOID-5: F10 ontology violation — taxonomy drift

9️⃣ Relationship to Other Skills

🔟 AGI vs ASI Threshold

Ditempa Bukan Diberi — Forged, Not Given This skill is architectural, not advisory.