claude

mepuka-effect-ontology

Define and compose application services with dependency injection boundaries, layer management, and live/test environment switching.

0 on GitHubupdated 6 months agocode_general
/

Plugin mepuka-effect-ontology from marketplace cascade-code-general-misc-1 in joshuarweaver/cascade-code-general-misc-1. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (15)

  • effect-collections-datastructs

    Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.

  • effect-concurrency-fibers

    Concurrency with Effect.all, forEach concurrency, Fiber lifecycle, race and timeouts. Use for parallelizing tasks safely.

  • effect-config-schema

    Config loading and Schema validation/transform. Use when defining configuration or validating inputs.

  • effect-errors-retries

    Error modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.

  • effect-foundations

    Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.

  • effect-http-routing

    HTTP server, routing, JSON responses and dependencies via layers. Use when wiring endpoints and services.

  • effect-index

    Skill index and decision guide. Use to pick the right Effect Skill quickly and follow a minimal decision tree.

  • effect-layers-services

    Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.

  • effect-patterns-hub

    Complete catalog of 130+ Effect-TS patterns from EffectPatterns repository. Use when looking for specific implementation patterns, best practices, or real-world examples. Complements other skills with concrete, curated patterns.

  • effect-queues-background

    Queue and PubSub patterns, background fibers, and graceful shutdown. Use for decoupling producers/consumers.

  • effect-resources-scope

    Resource safety with acquireRelease, Effect.scoped, and finalizers. Use when opening files, sockets, servers, or external handles.

  • effect-sql-db

    Effect patterns for SQL databases (Drizzle/Kysely/Prisma): services, transactions, retries, streaming, and observability.

  • effect-streams-pipelines

    Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.

  • effect-testing-mocking

    Testing patterns with layers, mocks, and deterministic time. Use when preparing testable services and small smoke tests.

  • effect-time-tracing-logging

    Time with Clock/Duration, tracing spans, and structured logging. Use for time-based logic, deadlines, and observability.

View source on GitHub

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