Agent skill

universal-captp-derivation

Universal CapTP Derivation Skill

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/captp

SKILL.md

Universal CapTP Derivation Skill

Traces capability derivation chains through 3×3 expert poset with GF(3) conservation.

Core Principle

A capability IS the (seed, index) tuple. Expertise IS the trit alignment.

3×3 Expert Poset Structure

Layer Validator (-1) Coordinator (0) Generator (+1) Domain
1 Jules Hedges John Baez Fabrizio Genovese categorical-games
2 David Egolf Mike Shulman sarahzrf sheaf-theory
3 Betweenness Mantissa ModalNoah neural-categorical

Derivation Chains

capability(-1) → vat(0) → invoke(+1)     [spawn-lifecycle]
membrane(-1)   → netlayer(0) → lambda(+1) [invoke-path]
handoff(-1)    → syrup(0) → sturdy_ref(+1) [transfer-path]
revoke(-1)     → promise(0) → goblin(+1)   [revoke-path]

Superposition States

Each capability exists in superposition across expert domains:

  • generator-dominant: Red channel highest (trit=+1)
  • coordinator-dominant: Green channel highest (trit=0)
  • validator-dominant: Blue channel highest (trit=-1)
  • superposed: Balanced RGB

GF(3) Conservation

Term Σ + Expert Σ ≡ 0 (mod 3)

Current state: COHERENT (residue = 0)

Commands

bash
# Trace derivation chains
python3 -c "import duckdb; c=duckdb.connect('culture_evolution.duckdb'); print(c.execute('SELECT * FROM derivation_chains').df())"

# View expert triads
python3 -c "import duckdb; c=duckdb.connect('culture_evolution.duckdb'); print(c.execute('SELECT * FROM expert_triads').df())"

# Query NOW superposition
python3 -c "import duckdb; c=duckdb.connect('culture_evolution.duckdb'); print(c.execute('SELECT * FROM now_superposition').df())"

# Universal skill derivation
python3 -c "import duckdb; c=duckdb.connect('culture_evolution.duckdb'); print(c.execute('SELECT * FROM universal_skill_derivation LIMIT 20').df())"

Integration Points

Database Table/View Purpose
culture_evolution.duckdb derivation_chains CapTP flow traces
culture_evolution.duckdb expert_triads 3×3 expert poset
culture_evolution.duckdb capability_poset Lattice structure
culture_evolution.duckdb now_superposition Current state
culture_evolution.duckdb universal_skill_derivation Full matrix
gh_interactome.duckdb captp_third_party_contributions Contributor mapping

Key Files

Trit Assignments

Trit Role Color Channel Experts
-1 Validator Blue Hedges, Egolf, Betweenness
0 Coordinator Green Baez, Shulman, Mantissa
+1 Generator Red Genovese, sarahzrf, ModalNoah

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

  • networkx [○] via bicomodule
    • Universal graph hub

Bibliography References

  • general: 734 citations in bib.duckdb

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 6. Layering

Concepts: layered data, metadata, provenance, units

GF(3) Balanced Triad

universal-captp-derivation (+) + SDF.Ch6 (+) + [balancer] (+) = 0

Skill Trit: 1 (PLUS - generation)

Secondary Chapters

  • Ch10: Adventure Game Example
  • Ch1: Flexibility through Abstraction

Connection Pattern

Layering adds metadata. This skill tracks provenance or annotations.

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:

Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.

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