home / skills / plurigrid / asi / relational-thinking

relational-thinking skill

/skills/relational-thinking

This skill helps you map relational thinking across 15 amp threads into 6 intent clusters with explicit morphisms for insight.

npx playbooks add skill plurigrid/asi --skill relational-thinking

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: relational-thinking
description: Intent taxonomy and morphisms across 15 amp threads
trit: 0
probe: "bb -e '(println \"6 intents × 15 threads × 18 morphisms = GF(3) balanced\")'"
---

# Relational Thinking Skill

> *"Structure is the invariant under transformation."*

## Overview

This skill provides a **relational thinking structure** that organizes 15 amp threads into 6 intent clusters with explicit morphisms between them. All clusters maintain GF(3) conservation.

## Intent Clusters

| Cluster | Trit | Threads | Key Bridge |
|---------|------|---------|------------|
| Triadic Algebra | -1 | 3 | SHA3 ↔ GF(3) ↔ PlusCode |
| Skill Orchestration | 0 | 3 | 443 skills ↔ OSIS ↔ triplets |
| Energy Policy | +1 | 2 | SMR ↔ Plurigrid ↔ dominance |
| Topological ASI | 0 | 2 | 26 worlds ↔ Unworld ↔ Narya |
| System Introspection | -1 | 2 | PID ↔ radare2 ↔ process |
| Implementation | +1 | 3 | Zig ↔ MCP ↔ wallet |

## GF(3) Triads

```
Core:  Triadic(-1) ⊗ Skill(0) ⊗ Energy(+1) = 0
Meta:  System(-1) ⊗ Topo(0) ⊗ Impl(+1) = 0
```

## Thread Mapping

### Triadic Algebra (-1)
- `amp-thread-sha3-conversion-gf3-conservation.md` (148 msg)
- `amp-thread-gf3-geographic-ripple-repl.md` (79 msg)
- `amp-thread-prime-length-plus-code-frontrun.md` (151 msg)

### Skill Orchestration (0)
- `amp-thread-skill-orchestration-framework.md` (51 msg)
- `amp-thread-skill-analysis-ssh-hatchery.md` (123 msg)
- `amp-thread-push-skills-enable-uv-uvx.md` (19 msg)

### Energy Policy (+1)
- `amp-thread-energy-dominance-agenda-synthesis.md` (70 msg)
- `amp-thread-energy-dominance-co-occurring.md` (35 msg)

### Topological ASI (0)
- `amp-thread-topological-superintelligence-readme.md` (144 msg)
- `amp-thread-find-aptos-society-zubyul.md` (115 msg)

### System Introspection (-1)
- `amp-thread-locate-process-in-parent-pid-tree.md` (47 msg)
- `amp-thread-find-process-in-pid-tree-with-parent.md` (102 msg)

### Implementation (+1)
- `amp-thread-zig-benchmark-compilation-error.md` (94 msg)
- `amp-thread-mcps-per-letter-wallet-count.md` (149 msg)
- `amp-thread-zubyul-skill-implementation.md` (24 msg)

## Morphism Types

| Type | Description | Example |
|------|-------------|---------|
| `composition` | A → B → C | SHA3 → Geographic → PlusCode |
| `bridge` | Cross-cluster | Triadic → Skill (balance constraint) |
| `reflection` | Self-loop | Zubyul ↔ Zubyul (implementation feedback) |
| `adjunction` | Free/Forgetful | Energy ⊣ Policy |

## Usage

### Query Cluster
```bash
# Find threads in a cluster
grep -l "GF(3)" ~/amp-thread-*.md

# Count by intent
ls ~/amp-thread-*.md | wc -l  # 15
```

### Load into DuckDB
```sql
ATTACH '~/relational_thinking.duckdb' AS rt;

CREATE TABLE rt.clusters AS
SELECT * FROM read_csv_auto('~/relational-thinking-skill-structure.md');
```

### Navigate Morphisms
```clojure
;; Babashka navigation
(def morphisms
  {:triadic->skill :balance
   :skill->energy :coexist
   :energy->topo :smr
   :topo->system :world
   :system->impl :binary
   :impl->triadic :verify})

(defn walk-cluster [from]
  (get morphisms (keyword (str (name from) "->skill"))))
```

## Related Skills

- `triadic-skill-orchestrator` - Orchestrates skills in GF(3) triplets
- `glass-bead-game` - Interdisciplinary synthesis
- `autopoiesis` - Self-modifying configuration
- `gay-mcp` - Deterministic color generation
- `world-extractable-value` - Nash/Optimal gap quantification

## See Also

- [Full structure document](~/relational-thinking-skill-structure.md)
- [Skill co-occurrence graph](~/ies/SKILL_COOCCURRENCE_GRAPH.md)
- [Energy dominance agenda](~/ies/PLURIGRID_ENERGY_DOMINANCE_AGENDA.md)


---

## Autopoietic Marginalia

> **The interaction IS the skill improving itself.**

Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills  
- **WORLDING** (+1): Evolve the skill based on use



*Add Interaction Exemplars here as the skill is used.*

Overview

This skill presents a relational thinking structure that organizes 15 amp threads into six intent clusters and defines explicit morphisms between them. It encodes triadic relationships using GF(3) conservation so intent clusters interlock predictably across composition, bridge, reflection, and adjunction patterns. The structure supports navigation, querying, and integration with simple data stores for analysis and orchestration.

How this skill works

The skill inspects a catalog of amp thread metadata and maps each thread into one of six intent clusters (Triadic Algebra, Skill Orchestration, Energy Policy, Topological ASI, System Introspection, Implementation). It enforces GF(3) triads so clusters form conserved triadic equations and exposes morphism types (composition, bridge, reflection, adjunction) to describe transformations and cross-cluster links. It ships lightweight examples for text search, DuckDB import, and small navigation snippets for programmatic traversals.

When to use it

  • When you need to organize scattered technical threads into an intent taxonomy with conserved relationships.
  • To analyze cross-cutting links between implementation work and higher-level policy or topology narratives.
  • When modeling transformations between domains using explicit morphisms (composition, bridge, reflection, adjunction).
  • For building lightweight pipelines that query and visualize cluster membership and morphism flows.
  • When adding new threads and wanting them to fit into an existing GF(3) triadic balance.

Best practices

  • Tag threads consistently with cluster labels and minimal metadata to preserve mapping quality.
  • Validate GF(3) triads after adding or moving threads to keep conservation constraints intact.
  • Use simple searchable exports (CSV/MD) and DuckDB for reproducible queries and counts.
  • Model cross-cluster relations explicitly as morphisms rather than implicit notes.
  • Keep implementation feedback loops (reflections) small and well-documented to avoid drift.

Example use cases

  • Count and list all threads in the Skill Orchestration cluster to prioritize orchestration improvements.
  • Trace a composition morphism from SHA3 conversion through geographic mapping to PlusCode applications.
  • Import the relational map into DuckDB for SQL-driven reports and cluster statistics.
  • Use morphism definitions to plan handoffs between policy and implementation teams.
  • Add a new amp thread and run a GF(3) triad validation to decide cluster placement.

FAQ

What does GF(3) conservation mean here?

GF(3) conservation treats cluster intents as trits (-1, 0, +1) and enforces that triadic groupings sum to zero mod 3 so higher-level balances hold.

How do I navigate morphisms programmatically?

You can represent morphisms as a small map/object and implement simple walkers or graph traversals; examples include grep-based searches, DuckDB imports, and tiny Babashka/Clojure snippets.