universal-captp-derivation
Universal CapTP Derivation Skill
Best use case
universal-captp-derivation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Universal CapTP Derivation Skill
Teams using universal-captp-derivation should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/universal-captp-derivation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How universal-captp-derivation Compares
| Feature / Agent | universal-captp-derivation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Universal CapTP Derivation Skill
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
- [lib/culture_alter.rb](../../lib/culture_alter.rb) - Stigmergic evolution
- [lib/color_capability.rb](../../lib/color_capability.rb) - CapTP goblin swarm
- [lib/interactome_open_games.rb](../../lib/interactome_open_games.rb) - Expert triads
- [scripts/culture_games.rb](../../scripts/culture_games.rb) - Culture × Open Games
## 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
## 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.Related Skills
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