What problem does it solve? Python codebases often scatter mutable state and transport clients across managers, engines, and module-level globals, making state evolution untraceable and domain logic unverifiable. This Skill enforces a single convergence point for live state and clients. ## Core Features & Use Cases - Consistency Model Construct: Defines the one unfrozen Pydantic BaseModel per context where clients and proven state fields converge, with state evolution by re-pointing fields to newly constructed facts. - Binding Construct: Provides a connect method that wires constructed transport clients into the consistency model without owning domain logic or decisions. - Use Case: When building a trading position tracker, use this Skill to model PositionState as a discriminated union, hold it in a single PositionConsistencyModel with bus and ledger clients, and wire everything through a PositionBinding connect method instead of writing a manager class. ## Quick Start Ask the AI to apply the python-state-success rules to design a consistency model and binding for your context before writing any class that holds a socket, database client, or mutable field.
