Use when designing, auditing, or generating the systemic substrate of a game — the small set of consistent, interacting rules (a "chemistry engine") that produce emergent play, rather than scripted set-pieces. Covers immersive-sim principles (intention & perceivable consequence), multiplicative vs. additive design, the "tabletop RPG with a good GM" analogy, and how emergent systems make procedural generation cohere instead of becoming "oatmeal". Also use to diagnose "the world feels inert", "all the variety is scripted", "my generated content is samey", "players can only do what I imagined", or single-solution gates. Triggers on "systemic design", "emergent gameplay", "immersive sim", "multiplicative gameplay", "chemistry engine", "affordances not solutions", "intention and consequence", "interacting systems", "oatmeal", "every quest is the same".
Use when designing, auditing, or generating the systemic substrate of a game — the small set of consistent, interacting rules (a "chemistry engine") that produce emergent play, rather than scripted set-pieces. Covers immersive-sim principles (intention & perceivable consequence), multiplicative vs. additive design, the "tabletop RPG with a good GM" analogy, and how emergent systems make procedural generation cohere instead of becoming "oatmeal". Also use to diagnose "the world feels inert", "all the variety is scripted", "my generated content is samey", "players can only do what I imagined", or single-solution gates. Triggers on "systemic design", "emergent gameplay", "immersive sim", "multiplicative gameplay", "chemistry engine", "affordances not solutions", "intention and consequence", "interacting systems", "oatmeal", "every quest is the same".
Systemic-Emergent Design
How to author affordances, not solutions: a small set of consistent, deeply-simulated, interacting rules that produce more meaningful play than any volume of scripted content — and, for a procedural/AI-authored game, the only thing that makes generated content cohere rather than collapse into "10,000 bowls of oatmeal."
When to use this
Designing the rule substrate / "chemistry engine" before authoring or generating content
Deciding whether to add a system, a verb, or a scripted set-piece
Auditing for emergence: are systems actually interacting, or siloed behind scripts?
Making procedural generation produce perceptual variety, not just numerical variety
Diagnosing: "the world feels inert", "all variety is scripted", "every generated quest is the same", single-solution gates
Scope
This skill owns the emergence-from-interacting-systems discipline. Adjacent concerns live in sibling skills, cross-linked from the guide:
The "interesting decision" test and general theory → game-design-fundamentals
Combat verbs, telegraphing, the feel of interactions → combat-design
Currencies/items as systemic chains (currency-as-material) → rpg-systems
The spatial affordances systems act on → open-world-design
Quests that emerge vs. branch → narrative-and-quest-design
How the pieces fit
GUIDE.md — the cited why, in five sub-domains: the immersive-sim lineage (universal rules; intention & perceivable consequence), emergence from few deep systems vs. scripted events, the "good GM" analogy and its honest limit, multiplicative vs. additive design (Nintendo's chemistry engine), and how emergence + procedural generation multiply each other. Each rule carries an exemplar, source, test-for criterion, named failure mode, and the procedural/headless implication.
CHECKLIST.md — Do/Don't + machine-checkable Test-for criteria, grouped by sub-domain, written to be enforced as automated gates in a generation loop.
The one idea to anchor on
You never design play directly — only the rules that give rise to it (the "second-order design problem"). Author orthogonal affordances and let them combine; keep the rules near-exceptionless and mapped to real-world expectation so players learn them by exposure; guarantee every verb has intention and perceivable consequence; and freeze the rule substrate before you generate, so the simulation — not the AI's whim — validates emergent solutions.
Why this matters doubly for a generator: producing more content is cheap; producing more interactions is hard, so a generator told to "maximize variety" produces oatmeal, and one that "helpfully" adds bespoke interactions reintroduces exceptions that break learnability. Score the agent on interaction density, constrain it to tag-assignment and situation-composition over a frozen rule table, and forbid it from ever inventing a new rule or exception.
