Store Migration Workflow

Migrate monolithic Zustand stores by decomposing god objects into domain-driven stores, updating imports across your codebase, and coordinating cross-store state transitions. This Skill automates the migration using GOAP planning to sequence steps optimally and hive-mind coordination to manage complex refactors without breaking application behavior.

Store migration using domain-driven decomposition maintains behavior by generating an optimal action plan with GOAP, spawning specialized agents for analysis, coding, migration, and testing, and persisting state across sessions via AgentDB memory. The Skill tracks world state and goal state to ensure all transitions remain consistent.

Yes. This Skill trains on successful migrations to generalize patterns and improve future efforts. Combined with AgentDB session persistence, neural pattern learning captures what worked across refactors and applies those insights to optimize subsequent migrations.

For large refactors involving multiple domain stores and cross-store coordination, hive-mind coordination orchestrates collective intelligence across specialized agents. GOAP planning generates the optimal migration sequence, reducing manual choreography and the risk of breaking state transitions.

AgentDB memory persists both world state and plan state across sessions, allowing you to pause and resume migrations without losing context. This enables long-running refactors to be completed incrementally while maintaining consistency.

The Skill handles complex state transitions through hive-mind coordination and GOAP planning, which sequences actions to respect dependencies and safely decompose coupled state into independent domain stores while maintaining referential integrity.