Skills effect-ts

Effect-TS (Effect) comprehensive development guide for TypeScript. Use when building, debugging, reviewing, or generating Effect code. Covers typed error modeling (expected errors vs defects), structured concurrency (fibers), dependency injection (ServiceMap/Context + Layers), resource management (Scope), retry/scheduling (Schedule), streams, Schema validation, observability (OpenTelemetry), HTTP client/server, Effect AI (LLM integration), and MCP servers. Critical for AI code generation: includes exhaustive wrong-vs-correct API tables preventing hallucinated Effect code. Supports both Effect v3 (stable) and v4 (beta). Use this skill whenever code imports from 'effect', '@effect/platform', '@effect/ai', or the user mentions Effect-TS, typed errors with Effect, functional TypeScript with Effect, ServiceMap, Layer, or Schema from Effect. Also trigger when generating new TypeScript projects that could benefit from Effect patterns, even if the user doesn't explicitly name the library.

install
source · Clone the upstream repo
git clone https://github.com/tenequm/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/tenequm/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/effect-ts" ~/.claude/skills/tenequm-skills-effect-ts && rm -rf "$T"
manifest: skills/effect-ts/SKILL.md
source content

Effect-TS

Effect is a TypeScript library for building production-grade software with typed errors, structured concurrency, dependency injection, and built-in observability.

Version Detection

Before writing Effect code, detect which version the user is on:

# Check installed version
cat package.json | grep '"effect"'
  • v3.x (stable, most production codebases):
    Context.Tag
    ,
    Effect.catchAll
    ,
    Effect.fork
    ,
    Data.TaggedError
  • v4.x (beta, Feb 2026+):
    ServiceMap.Service
    ,
    Effect.catch
    ,
    Effect.forkChild
    ,
    Schema.TaggedErrorClass

If the version is unclear, ask the user. Default to v3 patterns for existing codebases, v4 for new projects.

Primary Documentation Sources

AI Guardrails: Critical Corrections

LLM outputs frequently contain incorrect Effect APIs. Verify every API against the reference docs before using it.

Common hallucinations (both versions):

Wrong (AI often generates)Correct
Effect.cachedWithTTL(...)
Cache.make({ capacity, timeToLive, lookup })
Effect.cachedInvalidateWithTTL(...)
cache.invalidate(key)
/
cache.invalidateAll()
Effect.mapError(effect, fn)
Effect.mapError(fn)
in pipe, or use
Effect.catchTag
import { Schema } from "@effect/schema"
import { Schema } from "effect"
(v3.10+ and all v4)
import { JSONSchema } from "@effect/schema"
import { JSONSchema } from "effect"
(v3.10+)
JSON Schema Draft 2020-12Effect Schema generates Draft-07
"thread-local storage""fiber-local storage" via
FiberRef
(v3) /
ServiceMap.Reference
(v4)
fibers are "cancelled"fibers are "interrupted"
all queues have back-pressureonly bounded queues; sliding/dropping do not
new MyError("message")
new MyError({ message: "..." })
(Schema errors take objects)

v3-specific hallucinations:

WrongCorrect (v3)
Effect.Service
(function call)
class Foo extends Effect.Service<Foo>()("id", {})
Effect.match(effect, { ... })
Effect.match(effect, { onSuccess, onFailure })
Effect.provide(layer1, layer2)
Effect.provide(Layer.merge(layer1, layer2))

v4-specific hallucinations (AI may mix v3/v4):

Wrong (v3 API used in v4 code)Correct (v4)
Context.Tag("X")
ServiceMap.Service<X>(id)
or class syntax
Effect.catchAll(fn)
Effect.catch(fn)
Effect.fork(effect)
Effect.forkChild(effect)
Effect.forkDaemon(effect)
Effect.forkDetach(effect)
Data.TaggedError
Schema.TaggedErrorClass
FiberRef.get(ref)
yield* References.X
(ServiceMap.Reference)
yield* ref
(Ref as Effect)
yield* Ref.get(ref)
(Ref is no longer an Effect)
yield* fiber
(Fiber as Effect)
yield* Fiber.join(fiber)
(Fiber is no longer Effect)
Logger.Default
/
Logger.Live
Logger.layer
(v4 naming convention)
Schema.TaggedError
Schema.TaggedErrorClass

Read

references/llm-corrections.md
for the exhaustive corrections table.

Progressive Disclosure

Read only the reference files relevant to your task:

  • Error modeling or typed failures →
    references/error-modeling.md
  • Services, DI, or Layer wiring →
    references/dependency-injection.md
  • Retries, timeouts, or backoff →
    references/retry-scheduling.md
  • Fibers, forking, or parallel work →
    references/concurrency.md
  • Streams, queues, or SSE →
    references/streams.md
  • Resource lifecycle or cleanup →
    references/resource-management.md
  • Schema validation or decoding →
    references/schema.md
  • Logging, metrics, or tracing →
    references/observability.md
  • HTTP clients or API calls →
    references/http.md
  • HTTP API servers →
    references/http.md
    (covers both client and server)
  • LLM/AI integration →
    references/effect-ai.md
  • Testing Effect code →
    references/testing.md
  • Migrating from async/await →
    references/migration-async.md
  • Migrating from v3 to v4 →
    references/migration-v4.md
  • Core types, gen, pipe, running →
    references/core-patterns.md
  • Full wrong-vs-correct API table →
    references/llm-corrections.md

Core Workflow

  1. Detect version from
    package.json
    before writing any code
  2. Clarify boundaries: identify where IO happens, keep core logic as
    Effect
    values
  3. Choose style: use
    Effect.gen
    for sequential logic, pipelines for simple transforms. In v4, prefer
    Effect.fn("name")
    for named functions
  4. Model errors explicitly: type expected errors in the
    E
    channel; treat bugs as defects
  5. Model dependencies with services and layers; keep interfaces free of construction logic
  6. Manage resources with
    Scope
    when opening/closing things (files, connections, etc.)
  7. Provide layers and run effects only at program edges (
    NodeRuntime.runMain
    or
    ManagedRuntime
    )
  8. Verify APIs exist before using them - consult https://tim-smart.github.io/effect-io-ai/ or source docs

Starter Function Set

Start with these ~20 functions (the official recommended set):

Creating effects:

Effect.succeed
,
Effect.fail
,
Effect.sync
,
Effect.tryPromise

Composition:

Effect.gen
(+
Effect.fn
in v4),
Effect.andThen
,
Effect.map
,
Effect.tap
,
Effect.all

Running:

Effect.runPromise
,
NodeRuntime.runMain
(preferred for entry points)

Error handling:

Effect.catchTag
,
Effect.catchAll
(v3) /
Effect.catch
(v4),
Effect.orDie

Resources:

Effect.acquireRelease
,
Effect.acquireUseRelease
,
Effect.scoped

Dependencies:

Effect.provide
,
Effect.provideService

Key modules:

Effect
,
Schema
,
Layer
,
Option
,
Either
(v3) /
Result
(v4),
Array
,
Match

Import Patterns

Always use barrel imports from

"effect"
:

import { Effect, Schema, Layer, Option, Stream } from "effect"

For companion packages, import from the package name:

import { NodeRuntime } from "@effect/platform-node"
import { NodeSdk } from "@effect/opentelemetry"

Avoid deep module imports (

effect/Effect
) unless your bundler requires it for tree-shaking.

Output Standards

  • Show imports in every code example
  • Prefer
    Effect.gen
    (imperative) for multi-step logic; pipelines for transforms
  • In v4, use
    Effect.fn("name")
    instead of bare
    Effect.gen
    for named functions
  • Never call
    Effect.runPromise
    /
    Effect.runSync
    inside library code - only at program edges
  • Use
    NodeRuntime.runMain
    for CLI/server entry points (handles SIGINT gracefully)
  • Use
    ManagedRuntime
    when integrating Effect into non-Effect frameworks (Hono, Express, etc.)
  • Always
    return yield*
    when raising an error in a generator (ensures TS understands control flow)
  • Avoid point-free/tacit usage: write
    Effect.map((x) => fn(x))
    not
    Effect.map(fn)
    (generics get erased)
  • Keep dependency graphs explicit (services, layers, tags)
  • State the
    Effect<A, E, R>
    shape when it helps design decisions

Agent Quality Checklist

Before outputting Effect code, verify:

  • Every API exists (check against tim-smart API list or source docs)
  • Imports are from
    "effect"
    (not
    @effect/schema
    ,
    @effect/io
    , etc.)
  • Version matches the user's codebase (v3 vs v4 syntax)
  • Expected errors are typed in
    E
    ; unexpected failures are defects
  • run*
    is called only at program edges, not inside library code
  • Resources opened with
    acquireRelease
    are wrapped in
    Effect.scoped
  • Layers are provided before running (no missing
    R
    requirements)
  • Generator bodies use
    yield*
    (not
    yield
    without
    *
    )
  • Error raises in generators use
    return yield*
    pattern