Extract categorical type definitions from requirements into structured YAML artifacts.
npx skills add https://github.com/BellaBe/lean-os --skill spec-objects
Please help me install this Agent Skill. Skill: spec-objects Source: https://github.com/BellaBe/lean-os/tree/main/.claude/skills/engineering-spec-objects Command: npx skills add https://github.com/BellaBe/lean-os --skill spec-objects
This Skill extracts categorical objects (primitives, products, coproducts, refined) from requirements, enabling automated type discovery and domain modeling.
Example: "From requirements, generate artifacts/v{N}/spec/objects.yaml describing User, UserId, Email, and UserStatus."
High-intent search queries and answers about installing and using this skill.
Domain object extraction identifies type definitions from natural language requirements, database schemas, and API contracts. The Skill classifies primitives, products, coproducts, and refined types as categorical objects and produces structured YAML artifacts (objects.yaml) with detailed definitions, relationships, and descriptions for each type.
Type discovery from requirements identifies four categorical object classes: primitives (basic types like ID and Email), products (composite structures), coproducts (union types), and refined types (constrained values). Each receives formal definition with relationships and domain semantics in the output YAML.
Yes. Entity extraction identifies IDs and value objects from requirements. The Skill establishes references between objects and classifies them as categorical types, enabling complete domain model definition suitable for type-safe code generation and API contract design.
Type extraction produces artifacts/v{N}/spec/objects.yaml—a structured YAML file containing formal definitions for primitives, products, coproducts, and refined types. Each entry includes type relationships, descriptions, and domain semantics for downstream code generation or documentation.
Categorical object modeling applies when requirements must map to type-safe code, API schemas, or database designs. It bridges natural language specifications and formal type systems, reducing ambiguity and enabling automated validation and code generation from domain requirements.
Yes. Type extraction applies to natural language requirements, domain documentation, database schemas, and API contracts. It identifies and classifies types across all these formats and unifies them into a canonical categorical object model in YAML.
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