Chemical Organization Theory

**Category:** Phase 3 Core - Autopoietic Systems

16 stars

Best use case

Chemical Organization Theory is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

**Category:** Phase 3 Core - Autopoietic Systems

Teams using Chemical Organization Theory 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

$curl -o ~/.claude/skills/chemical-organization-theory/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/ies/music-topos/.codex/skills/chemical-organization-theory/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/chemical-organization-theory/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Chemical Organization Theory Compares

Feature / AgentChemical Organization TheoryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

**Category:** Phase 3 Core - Autopoietic Systems

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

# Chemical Organization Theory

**Category:** Phase 3 Core - Autopoietic Systems
**Status:** Skeleton Implementation
**Dependencies:** `categorical-composition` (reaction networks as categories)

## Overview

Implements Chemical Organization Theory (COT) for modeling self-maintaining autopoietic systems through reaction-diffusion dynamics, organizational closure detection, and self-maintenance verification.

## Capabilities

- **Reaction Networks**: Define chemical reaction systems
- **Organizational Closure**: Detect self-maintaining organizations
- **Reaction-Diffusion**: Spatial dynamics simulation
- **Autopoiesis**: Verify self-production and boundary maintenance

## Core Components

1. **Reaction Network Builder** (`reaction_network.jl`)
   - Define species and reactions
   - Stoichiometric matrices
   - Mass-action kinetics

2. **Organization Detection** (`organization_detection.jl`)
   - Closure detection (no external inputs required)
   - Self-maintenance verification
   - Organizational hierarchy

3. **Reaction-Diffusion Simulator** (`reaction_diffusion.jl`)
   - Spatial PDE integration
   - Pattern formation
   - Turing instabilities

4. **Autopoietic Analysis** (`autopoiesis.jl`)
   - Boundary formation detection
   - Self-production metrics
   - Organizational resilience

## Integration Points

- **Input from**: `categorical-composition` (reaction networks as categories)
- **Output to**: `emergent-role-assignment` (role stability as organizations)
- **Coordinates with**: `formal-verification-ai` (verify closure properties)

## Usage

```julia
using ChemicalOrganizationTheory

# Define reaction network
network = ReactionNetwork()
add_species!(network, [:A, :B, :C])
add_reaction!(network, [:A, :B] => [:C], rate=0.1)
add_reaction!(network, [:C] => [:A, :B], rate=0.05)

# Detect organizations
orgs = find_organizations(network)

# Simulate reaction-diffusion
grid = Grid2D(100, 100)
state = initialize_state(grid, network)
trajectory = simulate_rd(network, state, time=100.0)

# Check autopoiesis
is_autopoietic = check_autopoiesis(network, orgs[1])
```

## References

- Dittrich & Speroni di Fenizio "Chemical Organization Theory" (2007)
- Fontana & Buss "The Barrier of Objects" (1996)
- Varela et al. "Autopoiesis: The Organization of Living Systems" (1974)

## Implementation Status

- [x] Basic reaction network structures
- [x] Stoichiometric analysis
- [ ] Full organization detection algorithm
- [ ] Reaction-diffusion solver
- [ ] Autopoiesis verification metrics

Related Skills

implementing-gcp-organization-policy-constraints

16
from plurigrid/asi

Implement GCP Organization Policy constraints to enforce security guardrails across the entire resource hierarchy, restricting risky configurations and ensuring compliance at organization, folder, and project levels.

anima-theory

16
from plurigrid/asi

ANIMA as limit construction over condensed skill applications. Formalizes prediction markets as belief ANIMAs, structure dishes as condensation media, and impact as equivalence class change. Use for understanding agency at maximum entropy, compositional world modeling, or applying Scholze-Clausen condensed mathematics to AI.

zx-calculus

16
from plurigrid/asi

Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)

zulip-cogen

16
from plurigrid/asi

Zulip Cogen Skill 🐸⚡

zls-integration

16
from plurigrid/asi

zls-integration skill

zig

16
from plurigrid/asi

zig skill

zig-syrup-bci

16
from plurigrid/asi

Multimodal BCI pipeline in Zig: DSI-24 EEG, fNIRS mBLL, eye tracking IVT, LSL sync, EDF read/write, GF(3) conservation

zig-programming

16
from plurigrid/asi

zig-programming skill

zeroth-bot

16
from plurigrid/asi

Zeroth Bot - 3D-printed open-source humanoid robot platform for sim-to-real and RL research. Affordable entry point for humanoid robotics.

xlsx

16
from plurigrid/asi

Comprehensive spreadsheet creation, editing, and analysis with support

wycheproof

16
from plurigrid/asi

Google's Wycheproof test vectors for cryptographic implementation testing.

Writing Hookify Rules

16
from plurigrid/asi

This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.