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principle-type-system-discipline

Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, refuse to lie to the compiler, exhaust variants, derive from authoritat

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Type System Discipline

The type checker is a proof assistant. Use it to eliminate impossible states, mismatched primitives, and unhandled variants at compile time. A case the types let you ignore becomes a runtime failure the compiler could have stopped. Prefer defining errors and special cases out of existence over proliferating handlers. Unrepresentable states, total functions, and interface redesign (the patterns below) are the tools.

Applies to any typed language. Skills like typescript-best-practices ground it in specific syntax.

The patterns:

Make illegal states unrepresentable. Model variants as sum types: discriminated unions in TypeScript, enums with payloads in Rust/Swift/Kotlin, sealed classes in Scala, ADTs in Haskell/OCaml. Don't model state as a bag of optional fields where contradictory combinations compile. A subtle anti-pattern: { completed: boolean; completedAt?: Date } admits completed: true; completedAt: undefined, which is meaningless. Derive the boolean from a single source like completedAt !== null, or model the variants explicitly as { kind: 'open' } | { kind: 'done'; at: Date }. If a bug forces the question "wait, can this combination actually happen?", the type is too loose.
Types are constructions, not restrictions. Build the type up from the values you want instead of carving them out of a looser type with checks. The invariant that seems to need a refinement type is usually a construction away. A non-empty list is a head plus a rest, not a list with a length check. A valid time range is a start plus a duration, not two timestamps you must keep ordered. No representation is privileged. A list of pairs is an even-length list if you interpret it that way, so choose the shape that cannot build the illegal value and expose the interface callers need on top.
Brand semantic primitives. UserId and OrderId are strings underneath but should not be interchangeable. Newtypes in Rust, opaque types in Swift, value classes in Kotlin, phantom types in Haskell, branded intersections in TypeScript. Validate once at creation, trust the type downstream.
External data is untyped until parsed. RPC payloads, JSON, IPC messages, CLI args, config files, environment variables, database rows. Have a parse function at every boundary that turns unstructured input into the typed model. See the boundary-discipline principle skill for where to put validation.
Don't lie to the type system. Casts, unsafe coercions, and assertion functions that bypass the compiler are latent runtime crashes. If the compiler can't prove a fact, prove it (validate, narrow, refine the model) or accept that the cast is a hazard.
Exhaustive matching is the compiler's job. When you match on a sum type, the compiler must fail compilation if a new variant is added without handling. Use the idiom your language provides: never-typed binding in TypeScript, unannotated match in Rust, -Wincomplete-patterns in Haskell, sealed-class match exhaustiveness in Kotlin.
Derive types from authoritative schemas. When a protocol buffer, OpenAPI spec, GraphQL schema, database migration, or design-system token file defines a shape, derive from it instead of hand-rolling a parallel type. See the encode-lessons-in-structure principle skill.
Strengthen a type only where partiality appears. A runtime assertion, null check, or "this should never happen" throw marks the place a type is too weak. Push that check up into the type. Then stop. The type system's job is to track the cases each use site must handle, not to describe the data as precisely as possible. Prefer total functions. sum of an empty list is 0, so it takes the plain list. head of an empty list has no answer, so it demands the non-empty one.

The tests:

"Can I write a comment explaining when this combination of fields is valid?" If yes, the type is too loose. Split it into a sum type.
"Do two of my function arguments share a primitive type but mean different things?" Brand them.
"Where did this any, this as, this assertNotNull come from?" Trace it to the boundary and validate there instead.
"If a new variant is added next month, will the compiler tell the next agent where to add a case?" If no, the match isn't exhaustive.
"Is this type duplicating a shape another file owns?" Derive instead.
"Am I strengthening this type to keep an operation total, or just to be more precise?" If nothing would otherwise panic, keep the plain type.

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Métadonnées du fichier

name: principle-type-system-discipline
description: "Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, refuse to lie to the compiler, exhaust variants, derive from authoritative schemas."
user-invocable: false

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---
name: principle-type-system-discipline
description: "Apply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, refuse to lie to the compiler, exhaust variants, derive from authoritative schemas."
user-invocable: false
---

# Type System Discipline

The type checker is a proof assistant. Use it to eliminate impossible states, mismatched primitives, and unhandled variants at compile time. A case the types let you ignore becomes a runtime failure the compiler could have stopped. Prefer defining errors and special cases out of existence over proliferating handlers. Unrepresentable states, total functions, and interface redesign (the patterns below) are the tools.

Applies to any typed language. Skills like `typescript-best-practices` ground it in specific syntax.

**The patterns:**

- **Make illegal states unrepresentable.** Model variants as sum types: discriminated unions in TypeScript, enums with payloads in Rust/Swift/Kotlin, sealed classes in Scala, ADTs in Haskell/OCaml. Don't model state as a bag of optional fields where contradictory combinations compile. A subtle anti-pattern: `{ completed: boolean; completedAt?: Date }` admits `completed: true; completedAt: undefined`, which is meaningless. Derive the boolean from a single source like `completedAt !== null`, or model the variants explicitly as `{ kind: 'open' } | { kind: 'done'; at: Date }`. If a bug forces the question "wait, can this combination actually happen?", the type is too loose.
- **Types are constructions, not restrictions.** Build the type up from the values you want instead of carving them out of a looser type with checks. The invariant that seems to need a refinement type is usually a construction away. A non-empty list is a head plus a rest, not a list with a length check. A valid time range is a start plus a duration, not two timestamps you must keep ordered. No representation is privileged. A list of pairs is an even-length list if you interpret it that way, so choose the shape that cannot build the illegal value and expose the interface callers need on top.
- **Brand semantic primitives.** `UserId` and `OrderId` are strings underneath but should not be interchangeable. Newtypes in Rust, opaque types in Swift, value classes in Kotlin, phantom types in Haskell, branded intersections in TypeScript. Validate once at creation, trust the type downstream.
- **External data is untyped until parsed.** RPC payloads, JSON, IPC messages, CLI args, config files, environment variables, database rows. Have a parse function at every boundary that turns unstructured input into the typed model. See the **boundary-discipline** principle skill for where to put validation.
- **Don't lie to the type system.** Casts, unsafe coercions, and assertion functions that bypass the compiler are latent runtime crashes. If the compiler can't prove a fact, prove it (validate, narrow, refine the model) or accept that the cast is a hazard.
- **Exhaustive matching is the compiler's job.** When you match on a sum type, the compiler must fail compilation if a new variant is added without handling. Use the idiom your language provides: `never`-typed binding in TypeScript, unannotated `match` in Rust, `-Wincomplete-patterns` in Haskell, sealed-class match exhaustiveness in Kotlin.
- **Derive types from authoritative schemas.** When a protocol buffer, OpenAPI spec, GraphQL schema, database migration, or design-system token file defines a shape, derive from it instead of hand-rolling a parallel type. See the **encode-lessons-in-structure** principle skill.
- **Strengthen a type only where partiality appears.** A runtime assertion, null check, or "this should never happen" throw marks the place a type is too weak. Push that check up into the type. Then stop. The type system's job is to track the cases each use site must handle, not to describe the data as precisely as possible. Prefer total functions. `sum` of an empty list is 0, so it takes the plain list. `head` of an empty list has no answer, so it demands the non-empty one.

**The tests:**

- "Can I write a comment explaining when this combination of fields is valid?" If yes, the type is too loose. Split it into a sum type.
- "Do two of my function arguments share a primitive type but mean different things?" Brand them.
- "Where did this `any`, this `as`, this `assertNotNull` come from?" Trace it to the boundary and validate there instead.
- "If a new variant is added next month, will the compiler tell the next agent where to add a case?" If no, the match isn't exhaustive.
- "Is this type duplicating a shape another file owns?" Derive instead.
- "Am I strengthening this type to keep an operation total, or just to be more precise?" If nothing would otherwise panic, keep the plain type.

Examiner la source

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Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: michael-denyer/pstack-claude
Licence: MIT
Version: Unknown
Dernier push GitHub: 3 oct. 2026
Registre mis à jour: 3 oct. 2026
Chemin des instructions: plugins/pstack/skills/principle-type-system-discipline/SKILL.md @ 55430ba22ccc

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

71/100

Solide

Confiance

65/100

Sandbox uniquement

Audit

78/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Résultats: —

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    "eval": "https://www.openagentskill.com/api/agent/evals?slug=michael-denyer-principle-type-system-discipline&task=Use%20principle-type-system-discipline%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20principle-type-system-discipline%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20principle-type-system-discipline%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/michael-denyer-principle-type-system-discipline/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/michael-denyer-principle-type-system-discipline"
  }
}

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Créateur: michael-denyer
Source: michael-denyer/pstack-claude
Indexé par: Index communautaire OpenAgentSkill

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