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Found 24 Skills
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
Modeling business domains. Aggregates, value objects, domain events, rich models, repositories.
Domain modeling principles: parse-don't-validate, make invalid states unrepresentable, primitive obsession detection, semantic types, and domain veto authority. Activate when designing types, reviewing code for domain integrity, or when domain review is needed in a TDD cycle.
Build and refine the project's domain model. Suitable for users who want to clarify domain terms or ubiquitous language, record architectural decisions, or when other skills need to maintain the domain model.
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decomposition, strategic DDD context mapping, or code outside the domain layer (DTOs, controllers, infrastructure adapters).
Use the DRI Text Analysis Method (Data-Rule-Interaction) to perform word-by-word decomposition and domain modeling on natural language requirement descriptions. Reduce unstructured business requirement texts to structured architectural abstractions in three dimensions: Data (D), Rule (R), and Interaction (I), and directly generate conceptual tables usable for system design. It is suitable for requirement analysis, ubiquitous language extraction, text parsing before architecture design, and converting long requirement documents into clear development task decompositions.
Parse, don't validate - using sealed classes for type-safe validation and state representation. Model valid/invalid states explicitly, validate at boundaries, operate on valid types internally.
Scala typed errors with Cats MTL Raise/Handle and allow/rescue. Use for designing custom domain error types without EitherT, while keeping Cats Effect and ecosystem composition. Covers Scala 2/3 syntax and IO-only or F[_] usage.
从当前 conversation 提取 DDD-style ubiquitous language glossary，标记 ambiguities 并提出 canonical terms。保存到 UBIQUITOUS_LANGUAGE.md。Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
CRITICAL: Use for domain modeling. Triggers: domain model, DDD, domain-driven design, entity, value object, aggregate, repository pattern, business rules, validation, invariant, 领域模型, 领域驱动设计, 业务规则
Systematic architectural thinking for irreplaceable human capabilities - domain modeling, systems thinking, constraint navigation, and AI-aware problem decomposition. Use proactively when detecting architectural decisions, system design discussions, or multi-component planning.