Type-safe functional effects with Effect-TS. Use when building applications with Effect, using Effect.gen generators, handling typed errors, managing services with Layer and Context.Tag, validating data with Schema, or managing resources with acquireRelease.
Resources
1Install
npx skillscat add martinffx/claude-code-atelier/atelier-typescript-effect-ts Install via the SkillsCat registry.
Effect-TS
Effect is a powerful TypeScript library for building robust, type-safe applications. It provides a functional effect system with typed errors, dependency injection, resource management, and concurrency primitives.
Why Effect?
Type-safe errors: Unlike Promise which loses error type information, Effect tracks errors in the type system with Effect<Success, Error, Requirements>.
Dependency injection: Services are declared explicitly using Context.Tag and provided via Layer, making dependencies visible in types.
Resource safety: Effect.acquireRelease ensures resources are always cleaned up, even on failure or interruption.
Composability: Effects compose naturally with pipe, Effect.gen generators, and combinators like Effect.all, Effect.flatMap.
Quick Reference
For detailed patterns and examples, see:
- Core Concepts - Effect type, creating and running effects, generators
- Error Handling - Typed errors, catchAll, catchTag, Either
- Services & Layers - Dependency injection with Context.Tag and Layer
- Schema - Data validation with encode/decode
- Resources - Resource management with acquireRelease and Scope
The Effect Type
The core type Effect<Success, Error, Requirements> represents a computation that:
- Produces a value of type
Successon success - May fail with an error of type
Error - Requires a context of type
Requirementsto run
import { Effect } from "effect"
// Effect<number, never, never> - succeeds with number, cannot fail, no requirements
const succeed = Effect.succeed(42)
// Effect<never, string, never> - always fails with string error
const fail = Effect.fail("Something went wrong")
// Effect<string, Error, never> - may succeed with string or fail with Error
const parse = (input: string): Effect.Effect<number, Error> =>
Effect.try({
try: () => JSON.parse(input),
catch: (e) => new Error(`Parse failed: ${e}`)
})Creating Effects
import { Effect } from "effect"
// From synchronous values
const fromValue = Effect.succeed(42)
const fromThunk = Effect.sync(() => Date.now())
// From failures
const fromError = Effect.fail(new Error("Failed"))
const fromDie = Effect.die("Unexpected error") // Defect, not typed
// From async operations
const fromPromise = Effect.tryPromise({
try: () => fetch("/api/data").then(r => r.json()),
catch: (e) => new Error(`Fetch failed: ${e}`)
})
// From nullable values
const fromNullable = Effect.fromNullable(maybeValue)Running Effects
import { Effect } from "effect"
const program = Effect.succeed(42)
// Synchronous (throws if effect is async or fails)
const result = Effect.runSync(program) // 42
// Promise-based
const promise = Effect.runPromise(program) // Promise<42>
// With exit status
const exit = Effect.runSyncExit(program)
const exitPromise = Effect.runPromiseExit(program)Effect.gen Generators
Write async-looking code with full type safety using generators:
import { Effect } from "effect"
const program = Effect.gen(function* () {
const user = yield* fetchUser(userId)
const posts = yield* fetchPosts(user.id)
const enriched = yield* enrichPosts(posts)
return { user, posts: enriched }
})
// Equivalent to:
const programPipe = fetchUser(userId).pipe(
Effect.flatMap(user =>
fetchPosts(user.id).pipe(
Effect.flatMap(posts =>
enrichPosts(posts).pipe(
Effect.map(enriched => ({ user, posts: enriched }))
)
)
)
)
)Error Handling
Effect tracks errors in the type system, making error handling explicit:
import { Effect } from "effect"
class UserNotFound extends Error {
readonly _tag = "UserNotFound"
constructor(readonly userId: string) {
super(`User not found: ${userId}`)
}
}
class DatabaseError extends Error {
readonly _tag = "DatabaseError"
constructor(readonly cause: unknown) {
super("Database error")
}
}
// Effect<User, UserNotFound | DatabaseError, never>
const getUser = (id: string) => Effect.gen(function* () {
const record = yield* queryDatabase(id)
if (!record) {
return yield* Effect.fail(new UserNotFound(id))
}
return record
})
// Handle specific errors
const handled = getUser("123").pipe(
Effect.catchTag("UserNotFound", (e) =>
Effect.succeed({ id: e.userId, name: "Anonymous" })
)
)
// Handle all errors
const recovered = getUser("123").pipe(
Effect.catchAll((error) =>
Effect.succeed({ id: "unknown", name: "Fallback" })
)
)Services and Dependency Injection
Define services with Context.Tag and provide them with Layer:
import { Context, Effect, Layer } from "effect"
// Define a service interface and tag
class Database extends Context.Tag("Database")<
Database,
{
readonly query: (sql: string) => Effect.Effect<unknown[]>
readonly execute: (sql: string) => Effect.Effect<void>
}
>() {}
// Use the service in effects
const getUsers = Effect.gen(function* () {
const db = yield* Database
return yield* db.query("SELECT * FROM users")
})
// Create a layer that provides the service
const DatabaseLive = Layer.succeed(Database, {
query: (sql) => Effect.sync(() => {
console.log(`Executing: ${sql}`)
return []
}),
execute: (sql) => Effect.sync(() => {
console.log(`Executing: ${sql}`)
})
})
// Provide the layer to run the effect
const runnable = Effect.provide(getUsers, DatabaseLive)
Effect.runPromise(runnable)Schema Validation
Use Effect Schema for type-safe data validation:
import { Schema } from "effect"
// Define a schema
const User = Schema.Struct({
id: Schema.String,
name: Schema.String,
email: Schema.String,
age: Schema.Number
})
// Infer types from schema
type User = Schema.Schema.Type<typeof User>
// Decode unknown data
const decoded = Schema.decodeUnknownSync(User)({
id: "123",
name: "Alice",
email: "alice@example.com",
age: 30
})
// Decode with Effect (for better error handling)
const decodeEffect = Schema.decodeUnknown(User)
const result = decodeEffect({ id: "123", name: "Alice", email: "a@b.com", age: 30 })
// Effect<User, ParseError, never>Resource Management
Safely manage resources that need cleanup:
import { Effect, Scope } from "effect"
// Define a resource with acquisition and release
const withConnection = Effect.acquireRelease(
// Acquire
Effect.sync(() => {
console.log("Opening connection")
return { query: (sql: string) => sql }
}),
// Release
(conn) => Effect.sync(() => {
console.log("Closing connection")
})
)
// Use the resource in a scoped effect
const program = Effect.scoped(
Effect.gen(function* () {
const conn = yield* withConnection
return conn.query("SELECT * FROM users")
})
)
// Connection is automatically closed after use
Effect.runPromise(program)Common Patterns
Sequential vs Parallel Execution
import { Effect } from "effect"
const tasks = [task1, task2, task3]
// Sequential execution
const sequential = Effect.all(tasks, { concurrency: 1 })
// Parallel execution (all at once)
const parallel = Effect.all(tasks, { concurrency: "unbounded" })
// Parallel with limit
const limited = Effect.all(tasks, { concurrency: 5 })Retry with Backoff
import { Effect, Schedule } from "effect"
const retried = fetchData.pipe(
Effect.retry(
Schedule.exponential("100 millis").pipe(
Schedule.jittered,
Schedule.compose(Schedule.recurs(5))
)
)
)Timeouts
import { Effect, Duration } from "effect"
const withTimeout = longRunningTask.pipe(
Effect.timeout(Duration.seconds(30))
)Guidelines
- Use
Effect.genfor complex flows - Generators make sequential operations readable - Tag errors with
_tag- EnablescatchTagfor precise error handling - Define services with
Context.Tag- Makes dependencies explicit and testable - Use
Layerfor service composition - Layers compose and manage lifecycle - Prefer
Effect.tryover manual try/catch - Keeps errors in the Effect channel - Use Schema for external data - Validates and transforms API/DB data
- Scope resources with
acquireRelease- Guarantees cleanup on success or failure - Run effects at the edge - Keep
runPromise/runSyncat application boundaries
Integration with Other Skills
Effect-TS integrates well with:
- Functional Patterns - Effect builds on Option/Either concepts
- Drizzle ORM - Wrap Drizzle queries in Effect for typed errors
- Fastify - Use Effect for request handling with typed errors
When This Skill Loads
This skill automatically loads when discussing:
- Effect-TS library usage
- Typed error handling in TypeScript
- Dependency injection with Context and Layer
- Effect.gen generators
- Schema validation with Effect
- Resource management and Scope
- Functional effect systems