Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.
Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.
Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.
Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.
Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.