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smithery/plurigrid

topoi-hatchery

Topoi Hatchery

Installation

$ npx skills add smithery/plurigrid --skill topoi-hatchery
View on skills.sh ↗ Website ↗

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Other skills from smithery/plurigrid · top by installs.

npx skills add smithery/plurigrid
zig-programming 0 z 0 yoneda-directed 0 y 0 xenodium-elisp 0 x 0 worldmat-tidar 0 worlding 0 world-runtime 0 whitehole-audio 0

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,087 B
  • docs SUMMARY.md 36 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Topoi Hatchery

name: topoi-hatchery description: topOS metasystem exploring dependency space through entropy tensors, random walks, and balanced ternary coin-flips with Flox/Babashka paths. trit: 1 color: "#AF100A"

Overview

topOS v0.0.1Ω is an operating metasystem that evolves through incremental branching points using balanced ternary decisions to navigate dependency space.

Architecture

            topOS v0.0.1Ω
:topos =======================> (succ :topos)
   ||            |                ||
   ||     flox   |   babashka     ||
   \/     path   |    path        \/
backup --------->•<------------- backup
   ||            |                ||
   ||      coin-flip              ||
   ||      (2-morphism)           ||
memory ------------------------> memory

Ternary Coin-Flip Installation

Trit Path Description
+1 Flox Full reproducible environment (successor)
0 Current Preserve existing state (stabilizer)
-1 Babashka Progressive enhancement (predecessor) 
just install  # Coin-flip decides the path

Features

  • 🎲 Random walks through dependency space via Monte Carlo rollouts
  • 🌀 3x3x3 entropy/control tensor visualization with semantic axes
  • 🔮 Babashka-powered concept exploration
  • 📊 Rich TUI displays with arm/acc tendencies
  • 🧬 DisCoPy-based categorical structures
  • 🔄 Automatic backup and state preservation
  • ⚡ Progressive MCP server installation

Semantic Axes

The entropy tensor has three semantic dimensions:

  • Abstraction: Concrete ↔ Abstract
  • Interaction: Observer ↔ Creator
  • Entropy: Ordered ↔ Chaotic

MCP Servers

Priority installation order:

  1. coin-flip - Random decision making
  2. say - Voice interaction (Serena Premium)
  3. qemu - System emulation
  4. babashka - Clojure scripting
  5. github - Repository management
  6. anti-bullshit - Validation framework
  7. manifold - Prediction markets

Configuration

EDN-based config (config.edn):

  • Installation paths
  • Bootstrap preferences
  • Server priorities
  • Working memory location

Repository

  • Source: TeglonLabs/topoi
  • Seed: 0x3b6c5b97bfa12830
  • Index: 62/1055
  • Color: #72351b

GF(3) Triad

shell-guard (-1) ⊗ flox (0) ⊗ topoi-hatchery (+1) = 0 ✓

Related Skills

  • flox - Reproducible environments
  • babashka - Clojure scripting
  • discopy - Categorical diagrams
  • mcp-tripartite - MCP orchestration

"Հdelays Brilliant Chaos"

SDF Interleaving

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

Primary Chapter: 5. Evaluation

Concepts: eval, apply, interpreter, environment

GF(3) Balanced Triad

topoi-hatchery (+) + SDF.Ch5 (−) + [balancer] (○) = 0

Skill Trit: 1 (PLUS - generation)

Secondary Chapters

  • Ch6: Layering

Connection Pattern

Evaluation interprets expressions. This skill processes or generates evaluable forms.