effect-errors-retries

majiayu000's avatarfrom majiayu000

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

⭐0stars🔀0forks📁View on GitHub🕐Updated Jan 5, 2026

When & Why to Use This Skill

This Claude skill provides comprehensive patterns for error modeling and system resilience using the Effect library. It enables developers to define structured domain errors with TaggedError, implement sophisticated retry strategies with exponential backoff and jitter, and manage service boundaries by mapping infrastructure failures to domain-specific logic. By leveraging these patterns, users can build highly reliable, fault-tolerant TypeScript applications with precise error recovery and bounded latency.

Use Cases

  • Defining Domain Errors: Create type-safe, structured error classes using TaggedError to distinguish between different failure modes like ValidationError or NotFoundError, improving code maintainability.
  • Resilient API Integration: Implement selective retry policies with exponential backoff and jitter to handle transient network failures while failing fast on permanent errors (e.g., 404s).
  • Boundary Error Mapping: Transform low-level technical errors (such as SQL exceptions or HTTP ResponseErrors) into meaningful domain errors at the edge of your service to maintain a clean architecture.
  • Latency Management: Apply timeouts and race patterns to long-running operations to ensure the system remains responsive and avoids resource exhaustion in distributed environments.
nameeffect-errors-retries
descriptionError modeling and recovery with TaggedError, catchTag(s), mapError, and retry schedules. Use when defining errors or adding resilience.
allowed-toolsRead, Grep, Glob, Edit, Write, mcp__effect-docs__effect_docs_search

Errors & Retries

When to use

  • You’re defining domain errors and recovery policies
  • You need to map infrastructure errors to domain boundaries
  • You must add retries, backoff, jitter, and timeouts

Model Errors

import { Data } from "effect"

class ValidationError extends Data.TaggedError("ValidationError")<{ field: string; reason: string }>{}
class NotFoundError extends Data.TaggedError("NotFoundError")<{ id: string }>{}

Map/Boundary

const repoCall = Effect.fail(new ValidationError({ field: "name", reason: "empty" }))

const service = repoCall.pipe(
  Effect.mapError((e) => new ServiceError({ cause: e }))
)

Recover Precisely

program.pipe(
  Effect.catchTags({
    ValidationError: (e) => Effect.succeed(fix(e)),
    NotFoundError: (e) => Effect.succeed(defaultValue)
  })
)

Retry Policies

import { Schedule } from "effect"

const retry = Schedule.exponential("100 millis").pipe(
  Schedule.jittered,
  Schedule.compose(Schedule.recurs(5))
)

const resilient = program.pipe(Effect.retry(retry))

Timeouts & Races

const withTimeout = Effect.timeout(program, "2 seconds")

Guidance & Pitfalls

  • Create separate TaggedError types per failure mode; avoid generic Error
  • Map low-level (HTTP/DB) errors to domain errors at the boundary
  • Retry only transient errors (use predicates with Schedule.whileInput)
  • Always combine retry with timeouts for bounded latency
  • Prefer catchTags over broad catchAll for clarity and safety

Real-world snippet: Map HTTP errors and retry selectively

// Verify URL with HEAD-range request, map ResponseError to domain errors,
// retry with exponential backoff unless invalid.
const verify = http.get(url, { headers: { range: "bytes=0-0" } }).pipe(
  Effect.flatMap(HttpClientResponse.filterStatus((s) => s < 400)),
  Effect.catchIf(
    (e) => e._tag === "ResponseError",
    (cause) =>
      cause.response.status < 500
        ? Effect.fail(new VideoInvalidError({ cause: "NotFound" }))
        : Effect.fail(new ExternalLoomError({ cause: cause.response }))
  ),
  Effect.retry({
    schedule: Schedule.exponential("200 millis"),
    times: 3,
    while: (e) => e._tag !== "VideoInvalidError"
  }),
  Effect.catchTag("RequestError", Effect.die)
)

Real-world snippet: Capture structured errors from Cause

import { Cause } from "effect"

const captureErrors = (cause: Cause.Cause<unknown>) => Effect.gen(function* () {
  if (Cause.isInterruptedOnly(cause)) return { interrupted: true, errors: [] }
  const raw = captureErrorsFrom(cause)
  const errors = yield* Effect.forEach(raw, transformRawError({ stripCwd: true }))
  return { interrupted: false, errors }
})

Quick Heuristics

  • Domain errors → TaggedError per type
  • Map low-level to high-level at boundaries
  • Retry only transient errors; predicate with Schedule.whileInput

Local Source Reference

CRITICAL: Search local Effect source before implementing

The full Effect source code is available at docs/effect-source/. Always search the actual implementation before writing Effect code.

Key Source Files

  • Effect: docs/effect-source/effect/src/Effect.ts
  • Data: docs/effect-source/effect/src/Data.ts
  • Schedule: docs/effect-source/effect/src/Schedule.ts
  • Cause: docs/effect-source/effect/src/Cause.ts

Example Searches

# Find error handling patterns
grep -F "catchTag" docs/effect-source/effect/src/Effect.ts
grep -F "catchAll" docs/effect-source/effect/src/Effect.ts
grep -F "mapError" docs/effect-source/effect/src/Effect.ts

# Study TaggedError
grep -F "TaggedError" docs/effect-source/effect/src/Data.ts

# Find retry and schedule patterns
grep -F "retry" docs/effect-source/effect/src/Schedule.ts
grep -F "exponential" docs/effect-source/effect/src/Schedule.ts
grep -F "jittered" docs/effect-source/effect/src/Schedule.ts

# Study Cause operations
grep -F "isInterruptedOnly" docs/effect-source/effect/src/Cause.ts

Workflow

  1. Identify the error handling API you need (e.g., catchTag, retry)
  2. Search docs/effect-source/effect/src/Effect.ts for the implementation
  3. Study the types and error recovery patterns
  4. Look at test files for usage examples
  5. Write your code based on real implementations

Real source code > documentation > assumptions

References