Chemical Organization Theory
**Category:** Phase 3 Core - Autopoietic Systems
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/chemical-organization-theory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Chemical Organization Theory Compares
| Feature / Agent | Chemical Organization Theory | 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?
**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
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