Handle TypeScript errors as values with fp-ts Either
Practical fp-ts error handling: replace try/catch with Either/TaskEither, chain failures, accumulate validation errors, and convert at boundaries.
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Why it matters
Replace exception-heavy TypeScript code with predictable, type-safe error handling using fp-ts Either and TaskEither patterns, making errors visible in function signatures and eliminating try-catch spaghetti.
Outcomes
What it gets done
Convert throwing functions to Either return types that make errors explicit in TypeScript signatures
Chain multiple fallible operations cleanly without nested try-catch blocks using pipe and chain
Collect all validation errors at once instead of failing on the first error
Transform error and success values through pipelines while maintaining type safety
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-fp-errors | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Practical Error Handling with fp-ts
A practical fp-ts skill for replacing try/catch with Either/TaskEither error-as-value patterns, covering chaining, validation-error accumulation, and boundary conversion. Use when replacing exception-heavy TypeScript with Either/TaskEither, building validation or domain-error contracts, or needing pragmatic fp-ts error-handling patterns.
What it does
This skill teaches practical fp-ts error handling built on one idea: errors are data, returned as values TypeScript can track, instead of thrown into the void. Either<E, A> holds Left (error) or Right (success); E.tryCatch/E.tryCatchK wrap throwing code, E.map/E.mapLeft transform either side, E.fold pattern-matches both cases, and E.chain composes operations where any step's failure short-circuits the rest. TaskEither<E, A> is the async equivalent - a lazy function returning Promise<Either<E, A>> - with the same map/chain/fold vocabulary plus TE.orElse for fallback chains and sequenceS(TE.ApplyPar) for running independent async operations in parallel.
When to use - and when NOT to
Use it when replacing exception-heavy code with Either/TaskEither, when building validation or domain-error contracts, or when pragmatic fp-ts guidance is needed for real application code rather than academic functional-programming theory. It is specifically about error-as-value patterns; general fp-ts usage beyond error handling (lenses, IO, non-error monadic composition) is out of scope.
Inputs and outputs
Chaining with E.chain/E.chainW stops at the first Left and automatically unions differing error types across steps; E.filterOrElse adds validation checks mid-chain, and E.Do/E.bind ("Do notation") keeps intermediate values addressable by name in a pipeline. When every error needs surfacing at once - the classic form-validation case - E.getApplicativeValidation paired with NEA.getSemigroup and sequenceS(validation) accumulates all failures into a NonEmptyArray instead of stopping at the first one, with a field-level variant for attaching errors to specific form fields. For boundary conversion, E.fromNullable/E.fromOption handle T | undefined, E.tryCatch wraps throwing libraries like Zod's schema.parse, and TE.tryCatch wraps Promise-based APIs (fetch, Prisma) into typed TaskEithers; going back out to a plain Promise uses either await te() (preserves the Either), a throw-on-error wrapper for legacy callers, or TE.getOrElse for a default value.
const getUser = (id: string): E.Either<string, User> =>
!id ? E.left('ID required') : E.right(db.find(id))
Integrations
Built entirely on fp-ts's Either, TaskEither, NonEmptyArray, and Apply modules, composed via pipe. Worked scenarios include exponential-backoff retry (TE.orElse plus T.delay), cache-then-API fallback chains, safely parsing untyped input field-by-field, typed API-error handling with switch-based recovery per error code, and bulk/list operations that process every item and report successes and failures separately rather than failing the whole batch on one bad item.
Who it's for
TypeScript developers migrating exception-heavy or nested-try/catch code to typed, composable error handling - anyone building form validation that needs every error at once, async pipelines that need retries and fallbacks, or API boundaries that need to convert between throwing functions, nullable values, Promises, and Either/TaskEither cleanly at the edges.
FAQ
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Discussion
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