Cost-and-speed-optimized development workflow for a cheap fast implementing model consulting expensive advisor subagents (design-advisor, principal-advisor, quality-reviewer). Use for design-bearing or high-risk implementation - new/changed public contracts, schemas, state/lifecycle, concurrency, security, persistence, compatibility - or after repeated failed attempts. Do not invoke for trivial edits or solely because a change touches multiple files.
Use @data-client/react hooks for data fetching, mutations, and rendering - useSuspense, useFetch, useQuery, useCache, useLive, useDLE, useSubscription, useController, DataProvider, AsyncBoundary, useLoading, useDebounce. Use when reading/rendering remote data, triggering mutations, doing optimistic updates, real-time subscriptions, or wiring Suspense/error boundaries in React.
Model data with @data-client schemas (Entity, EntityMixin, Collection, Union, Query, Values, All, Invalidate, Lazy, Scalar) for atomic, consistent, referentially-equal async data via normalization, identity-based caching, and a single source of truth. Use when defining or editing pk, static schema, resource()/RestEndpoint schema, mutable lists/maps (push/unshift/assign/remove/move), polymorphic/discriminated types, memoized selectors / derived data, partial/supplementary entities, relational/nested/joined data, optimistic updates, or cache invalidation across @data-client/rest, /endpoint, /graphql, or /normalizr. Apply proactively when discussing data models, remote data shape, caching, normalization, identity, joins, polymorphism, mutable collections, or store consistency.
