Best use case
open-games is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Open Games Skill (ERGODIC 0)
Teams using open-games 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/open-games/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/ies/music-topos/.codex/skills/open-games/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/open-games/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How open-games Compares
| Feature / Agent | open-games | 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?
Open Games Skill (ERGODIC 0)
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
# Open Games Skill (ERGODIC 0)
> Compositional game theory via Para/Optic structure
**Trit**: 0 (ERGODIC)
**Color**: #26D826 (Green)
**Role**: Coordinator/Transporter
## Core Concept
Open games are morphisms in a symmetric monoidal category:
```
┌───────────┐
X ──→│ │──→ Y
│ Game G │
R ←──│ │←── S
└───────────┘
```
Where:
- **X → Y**: Forward play (strategies)
- **S → R**: Backward coplay (utilities)
## The Para/Optic Structure
### Para Morphism
```haskell
Para p a b = ∃m. (m, p m a → b)
-- Existential parameter with action
```
### Optic (Lens Generalization)
```haskell
Optic p s t a b = ∀f. p a (f a b) → p s (f s t)
-- Profunctor optic for bidirectional data
```
### Open Game as Optic
```haskell
OpenGame s t a b =
{ play : s → a
, coplay : s → b → t
, equilibrium : s → Prop
}
```
## Composition
### Sequential (;)
```
G ; H = Game where
play = H.play ∘ G.play
coplay = G.coplay ∘ (id × H.coplay)
```
### Parallel (⊗)
```
G ⊗ H = Game where
play = G.play × H.play
coplay = G.coplay × H.coplay
```
## Nash Equilibrium via Fixed Points
```haskell
isEquilibrium :: OpenGame s t a b → s → Bool
isEquilibrium g s =
let a = play g s
bestResponse = argmax (\a' → utility (coplay g s (respond a')))
in a == bestResponse
```
### Compositional Equilibrium
```
eq(G ; H) = eq(G) ∧ eq(H) -- under compatibility
```
## Integration with Unworld
```clojure
(defn opengame-derive
"Transport game through derivation chain"
[game derivation]
(let [; Forward: strategies through derivation
forward (compose (:play game) (:forward derivation))
; Backward: utilities through co-derivation
backward (compose (:coplay game) (:backward derivation))]
{:play forward
:coplay backward
:equilibrium (transported-equilibrium game derivation)}))
```
## GF(3) Triads
```
temporal-coalgebra (-1) ⊗ open-games (0) ⊗ free-monad-gen (+1) = 0 ✓
three-match (-1) ⊗ open-games (0) ⊗ operad-compose (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ open-games (0) ⊗ topos-generate (+1) = 0 ✓
```
## Commands
```bash
# Compose games sequentially
just opengame-seq G H
# Compose games in parallel
just opengame-par G H
# Check Nash equilibrium
just opengame-nash game strategy
# Transport through derivation
just opengame-derive game deriv
```
## Economic Examples
### Prisoner's Dilemma
```haskell
prisonersDilemma :: OpenGame () () (Bool, Bool) (Int, Int)
prisonersDilemma = Game {
play = \() → (Defect, Defect), -- Nash
coplay = \() (p1, p2) → payoffMatrix p1 p2
}
```
### Market Game
```haskell
market :: OpenGame Price Price Quantity Quantity
market = supplyGame ⊗ demandGame
where equilibrium = supplyGame.eq ∧ demandGame.eq
```
## Categorical Semantics
```
OpenGame ≃ Para(Lens) ≃ Optic(→, ×)
Composition:
(A ⊸ B) ⊗ (B ⊸ C) → (A ⊸ C) -- via cut
Tensor:
(A ⊸ B) ⊗ (C ⊸ D) → (A ⊗ C ⊸ B ⊗ D)
```
## References
- Ghani, Hedges, et al. "Compositional Game Theory"
- Capucci & Gavranović, "Actegories for Open Games"
- Riley, "Categories of Optics"
- CyberCat Institute tutorialsRelated Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.