effect-ts

v2026.09.24

Effect-TS library usage in TypeScript — Effect.gen generators, Schema.Struct/Schema.Class definitions, Layer/Context.Tag/Service patterns, Effect.pipe pipelines, Data.TaggedError/Data.Class error types, Ref/Queue/PubSub/Deferred concurrency primitives, Match module, Config providers, Scope/Exit/Cause/Runtime patterns, or any code using Effect's typed error channel (E parameter). Trigger when writing, reviewing, debugging, or refactoring TypeScript code that uses Effect — when you see imports from `effect`, `effect/*`, or any `@effect/*` scoped package (schema, platform, sql, opentelemetry, cli, cluster, rpc, vitest). Also trigger when the user asks about Effect patterns, migration from Promises/fp-ts/neverthrow to Effect, or how to structure an Effect application. Do NOT trigger for React's useEffect, Redux side effects, or general English usage of "effect" unless the context clearly involves the Effect-TS library.

GitHub
安装命令
npx skhub add pproenca/effect-ts
Markdown
SKILL.md

Effect TypeScript Best Practices

Effect is a TypeScript library for building complex, type-safe applications with structured error handling, dependency injection via services/layers, fiber-based concurrency, and resource safety.

When to Apply

  • Writing or reviewing TypeScript code that imports from effect, @effect/schema, or @effect/platform
  • Implementing typed error handling with Effect<Success, Error, Requirements>
  • Building services and layers for dependency injection
  • Working with Schema for data validation, decoding, and transformation
  • Using fiber-based concurrency (queues, semaphores, PubSub, deferred)
  • Processing data with Stream and Sink
  • Migrating from Promises, fp-ts, neverthrow, or ZIO to Effect

How to Use

This skill is organized by domain. Read the relevant reference file for the area you're working in.

Read First: The Paradigm

Always read this before diving into API references, especially when refactoring existing code to use Effect or writing new Effect services:

ReferenceWhen to Read
Think in Effect: The Paradigm ShiftBefore any other reference. Mental model shifts, refactoring recipes, anti-patterns, application architecture. Read this to understand HOW to think in Effect — the other files teach WHAT to type.

Core Foundations

ReferenceWhen to Read
Getting StartedCreating the Effect type, pipelines, generators, running effects
Error ManagementTyped errors, recovery, retrying, timeouts, sandboxing
Core ConceptsRequest batching, configuration management, runtime system

Data & Validation

ReferenceWhen to Read
Data TypesOption, Either, Cause, Chunk, DateTime, Duration, Exit, Data
Schema BasicsSchema intro, basic usage, classes, constructors, effect data types
Schema AdvancedTransformations, filters, annotations, error formatting, JSON Schema output

Architecture & Dependencies

ReferenceWhen to Read
Requirements ManagementServices, Layers, dependency injection, layer memoization
Resource ManagementScope, safe resource acquisition/release, caching
State ManagementRef, SubscriptionRef, SynchronizedRef for concurrent state

Concurrency & Streaming

ReferenceWhen to Read
ConcurrencyFibers, Deferred, Latch, PubSub, Queue, Semaphore
Streams and SinksCreating, consuming, transforming streams; sink operations
SchedulingBuilt-in schedules, cron, combinators, repetition

Platform & Observability

ReferenceWhen to Read
PlatformFileSystem, Command, Terminal, KeyValueStore, Path
ObservabilityLogging, metrics, tracing, Supervisor
TestingTestClock for time simulation; for service mocking and layer testing, see Requirements Management

Style, AI & Migration

ReferenceWhen to Read
Code StyleBranded types, pattern matching, dual APIs, guidelines, traits
AI IntegrationEffect AI packages for LLM tool use and execution planning
MicroLightweight Effect alternative for smaller bundles
Migration GuidesComing from Promises, fp-ts, neverthrow, or ZIO

Quick Reference — Common Patterns

The Effect Type

//         ┌─── Success type
//         │        ┌─── Error type
//         │        │      ┌─── Required dependencies
//         ▼        ▼      ▼
Effect<Success, Error, Requirements>

Creating Effects

import { Effect } from "effect"

// From sync values
const succeed = Effect.succeed(42)
const fail = Effect.fail(new Error("oops"))

// From sync code that may throw
const sync = Effect.try(() => JSON.parse(data))

// From promises
const async = Effect.tryPromise(() => fetch(url))

// From generators (recommended for complex flows)
const program = Effect.gen(function* () {
  const user = yield* getUser(id)
  const todos = yield* getTodos(user.id)
  return { user, todos }
})

Running Effects

// Async (returns Promise)
Effect.runPromise(program)

// With full Exit information
Effect.runPromiseExit(program)

// Sync (throws on async)
Effect.runSync(program)

Typed Errors

import { Data, Effect } from "effect"

class NotFound extends Data.TaggedError("NotFound")<{
  readonly id: string
}> {}

class Unauthorized extends Data.TaggedError("Unauthorized")<{}> {}

// Error type is tracked: Effect<User, NotFound | Unauthorized>
const getUser = (id: string) =>
  Effect.gen(function* () {
    // ...
  })

Services and Layers

import { Context, Effect, Layer } from "effect"

// Define a service
class UserRepo extends Context.Tag("UserRepo")<
  UserRepo,
  { readonly findById: (id: string) => Effect.Effect<User, NotFound> }
>() {}

// Use in effects — adds to Requirements channel
const program = Effect.gen(function* () {
  const repo = yield* UserRepo
  return yield* repo.findById("1")
})

// Implement with a Layer
const UserRepoLive = Layer.succeed(UserRepo, {
  findById: (id) => Effect.succeed({ id, name: "Alice" })
})

// Provide and run
program.pipe(Effect.provide(UserRepoLive), Effect.runPromise)

Schema Validation

import { Schema } from "effect"

const User = Schema.Struct({
  id: Schema.Number,
  name: Schema.String,
  email: Schema.String.pipe(Schema.pattern(/@/))
})

type User = typeof User.Type

// Decode (parse + validate)
const decode = Schema.decodeUnknownSync(User)
const user = decode({ id: 1, name: "Alice", email: "a@b.com" })

Pipelines

import { Effect, pipe } from "effect"

// Data-last (pipe style)
const result = pipe(
  getTodos,
  Effect.map((todos) => todos.filter((t) => !t.done)),
  Effect.flatMap((active) => sendNotification(active.length)),
  Effect.catchTag("NetworkError", () => Effect.succeed("offline"))
)

// Fluent (method style)
const result2 = getTodos.pipe(
  Effect.map((todos) => todos.filter((t) => !t.done)),
  Effect.flatMap((active) => sendNotification(active.length))
)

Gotchas

See gotchas.md for known failure points.

发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

skills/.experimental/effect-ts

默认分支

master

最新提交

cf93c57

Tree SHA

afbb575