Fp Errors

Practical Error Handling with fp-ts

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/fp-errors from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Practical Error Handling with fp-ts This skill teaches you how to handle errors without try/catch spaghetti. No academic jargon - just practical patterns for real problems. The core idea: Errors are just data. Instead of throwing them into the void and hoping someone catches them, return them as values that TypeScript can track.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: 1. Stop Throwing Everywhere, 2. The Result Pattern (Either), 3. Chaining Operations That Might Fail, 4. Collecting Multiple Errors, 5. Async Operations (TaskEither), 6. Converting Between Patterns.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• You need to replace exception-heavy code with Either or TaskEither.
• The task involves validation, domain errors, or clearer error contracts in TypeScript.
• You want pragmatic fp-ts error-handling guidance for real application code.
• Use when the request clearly matches the imported source intent: Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Summary

1. Return errors as values - Use Either/TaskEither instead of throwing
2. Chain with confidence - chain stops at first error automatically
3. Collect all errors when needed - Use validation applicative for forms
4. Wrap at boundaries - Convert throwing/Promise code at the edges
5. Match at the end - Use fold to handle both cases when you're ready to act

The payoff: TypeScript tracks your errors, no more forgotten try/catch, clear control flow, and composable error handling.

Imported: 1. Stop Throwing Everywhere

The Problem with Exceptions

Exceptions are invisible in your types. They break the contract between functions.

// What this function signature promises:
function getUser(id: string): User

// What it actually does:
function getUser(id: string): User {
  if (!id) throw new Error('ID required')
  const user = db.find(id)
  if (!user) throw new Error('User not found')
  return user
}

// The caller has no idea this can fail
const user = getUser(id) // Might explode!

You end up with code like this:

// MESSY: try/catch everywhere
function processOrder(orderId: string) {
  let order
  try {
    order = getOrder(orderId)
  } catch (e) {
    console.error('Failed to get order')
    return null
  }

  let user
  try {
    user = getUser(order.userId)
  } catch (e) {
    console.error('Failed to get user')
    return null
  }

  let payment
  try {
    payment = chargeCard(user.cardId, order.total)
  } catch (e) {
    console.error('Payment failed')
    return null
  }

  return { order, user, payment }
}

The Solution: Return Errors as Values

import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'

// Now TypeScript KNOWS this can fail
function getUser(id: string): E.Either<string, User> {
  if (!id) return E.left('ID required')
  const user = db.find(id)
  if (!user) return E.left('User not found')
  return E.right(user)
}

// The caller is forced to handle both cases
const result = getUser(id)
// result is Either<string, User> - error OR success, never both

Examples

Example 1: Ask for the upstream workflow directly

Use @fp-errors to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @fp-errors against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @fp-errors for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @fp-errors using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/fp-errors, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Quick Reference

TaskEither Equivalents

All Either operations have TaskEither equivalents:

• TE.right, TE.left, TE.tryCatch
• TE.map, TE.mapLeft, TE.chain, TE.chainW
• TE.fold, TE.getOrElse, TE.filterOrElse
• TE.orElse for fallbacks

Imported: 2. The Result Pattern (Either)

Either<E, A> is simple: it holds either an error (E) or a value (A).

• Left = error case
• Right = success case (think "right" as in "correct")

import * as E from 'fp-ts/Either'

// Creating values
const success = E.right(42)           // Right(42)
const failure = E.left('Oops')        // Left('Oops')

// Checking what you have
if (E.isRight(result)) {
  console.log(result.right) // The success value
} else {
  console.log(result.left)  // The error
}

// Better: pattern match with fold
const message = pipe(
  result,
  E.fold(
    (error) => `Failed: ${error}`,
    (value) => `Got: ${value}`
  )
)

Converting Throwing Code to Either

// Wrap any throwing function with tryCatch
const parseJSON = (json: string): E.Either<Error, unknown> =>
  E.tryCatch(
    () => JSON.parse(json),
    (e) => (e instanceof Error ? e : new Error(String(e)))
  )

parseJSON('{"valid": true}')  // Right({ valid: true })
parseJSON('not json')          // Left(SyntaxError: ...)

// For functions you'll reuse, use tryCatchK
const safeParseJSON = E.tryCatchK(
  JSON.parse,
  (e) => (e instanceof Error ? e : new Error(String(e)))
)

Common Either Operations

import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'

// Transform the success value
const doubled = pipe(
  E.right(21),
  E.map(n => n * 2)
) // Right(42)

// Transform the error
const betterError = pipe(
  E.left('bad'),
  E.mapLeft(e => `Error: ${e}`)
) // Left('Error: bad')

// Provide a default for errors
const value = pipe(
  E.left('failed'),
  E.getOrElse(() => 0)
) // 0

// Convert nullable to Either
const fromNullable = E.fromNullable('not found')
fromNullable(user)  // Right(user) if exists, Left('not found') if null/undefined

Imported: 3. Chaining Operations That Might Fail

The real power comes from chaining. Each step can fail, but you write it as a clean pipeline.

Before: Nested Try/Catch Hell

// MESSY: Each step can fail, nested try/catch everywhere
function processUserOrder(userId: string, productId: string): Result | null {
  let user
  try {
    user = getUser(userId)
  } catch (e) {
    logError('User fetch failed', e)
    return null
  }

  if (!user.isActive) {
    logError('User not active')
    return null
  }

  let product
  try {
    product = getProduct(productId)
  } catch (e) {
    logError('Product fetch failed', e)
    return null
  }

  if (product.stock < 1) {
    logError('Out of stock')
    return null
  }

  let order
  try {
    order = createOrder(user, product)
  } catch (e) {
    logError('Order creation failed', e)
    return null
  }

  return order
}

After: Clean Chain with Either

import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'

// Each function returns Either<Error, T>
const getUser = (id: string): E.Either<string, User> => { ... }
const getProduct = (id: string): E.Either<string, Product> => { ... }
const createOrder = (user: User, product: Product): E.Either<string, Order> => { ... }

// Chain them together - first error stops the chain
const processUserOrder = (userId: string, productId: string): E.Either<string, Order> =>
  pipe(
    getUser(userId),
    E.filterOrElse(
      user => user.isActive,
      () => 'User not active'
    ),
    E.chain(user =>
      pipe(
        getProduct(productId),
        E.filterOrElse(
          product => product.stock >= 1,
          () => 'Out of stock'
        ),
        E.chain(product => createOrder(user, product))
      )
    )
  )

// Or use Do notation for cleaner access to intermediate values
const processUserOrder = (userId: string, productId: string): E.Either<string, Order> =>
  pipe(
    E.Do,
    E.bind('user', () => getUser(userId)),
    E.filterOrElse(
      ({ user }) => user.isActive,
      () => 'User not active'
    ),
    E.bind('product', () => getProduct(productId)),
    E.filterOrElse(
      ({ product }) => product.stock >= 1,
      () => 'Out of stock'
    ),
    E.chain(({ user, product }) => createOrder(user, product))
  )

Different Error Types? Use chainW

type ValidationError = { type: 'validation'; message: string }
type DbError = { type: 'db'; message: string }

const validateInput = (id: string): E.Either<ValidationError, string> => { ... }
const fetchFromDb = (id: string): E.Either<DbError, User> => { ... }

// chainW (W = "wider") automatically unions the error types
const process = (id: string): E.Either<ValidationError | DbError, User> =>
  pipe(
    validateInput(id),
    E.chainW(validId => fetchFromDb(validId))
  )

Imported: 4. Collecting Multiple Errors

Sometimes you want ALL errors, not just the first one. Form validation is the classic example.

Before: Collecting Errors Manually

// MESSY: Manual error accumulation
function validateForm(form: FormData): { valid: boolean; errors: string[] } {
  const errors: string[] = []

  if (!form.email) {
    errors.push('Email required')
  } else if (!form.email.includes('@')) {
    errors.push('Invalid email')
  }

  if (!form.password) {
    errors.push('Password required')
  } else if (form.password.length < 8) {
    errors.push('Password too short')
  }

  if (!form.age) {
    errors.push('Age required')
  } else if (form.age < 18) {
    errors.push('Must be 18+')
  }

  return { valid: errors.length === 0, errors }
}

After: Validation with Error Accumulation

import * as E from 'fp-ts/Either'
import * as NEA from 'fp-ts/NonEmptyArray'
import { sequenceS } from 'fp-ts/Apply'
import { pipe } from 'fp-ts/function'

// Errors as a NonEmptyArray (always at least one)
type Errors = NEA.NonEmptyArray<string>

// Create the applicative that accumulates errors
const validation = E.getApplicativeValidation(NEA.getSemigroup<string>())

// Validators that return Either<Errors, T>
const validateEmail = (email: string): E.Either<Errors, string> =>
  !email ? E.left(NEA.of('Email required'))
  : !email.includes('@') ? E.left(NEA.of('Invalid email'))
  : E.right(email)

const validatePassword = (password: string): E.Either<Errors, string> =>
  !password ? E.left(NEA.of('Password required'))
  : password.length < 8 ? E.left(NEA.of('Password too short'))
  : E.right(password)

const validateAge = (age: number | undefined): E.Either<Errors, number> =>
  age === undefined ? E.left(NEA.of('Age required'))
  : age < 18 ? E.left(NEA.of('Must be 18+'))
  : E.right(age)

// Combine all validations - collects ALL errors
const validateForm = (form: FormData) =>
  sequenceS(validation)({
    email: validateEmail(form.email),
    password: validatePassword(form.password),
    age: validateAge(form.age)
  })

// Usage
validateForm({ email: '', password: '123', age: 15 })
// Left(['Email required', 'Password too short', 'Must be 18+'])

validateForm({ email: 'a@b.com', password: 'longpassword', age: 25 })
// Right({ email: 'a@b.com', password: 'longpassword', age: 25 })

Field-Level Errors for Forms

interface FieldError {
  field: string
  message: string
}

type FormErrors = NEA.NonEmptyArray<FieldError>

const fieldError = (field: string, message: string): FormErrors =>
  NEA.of({ field, message })

const formValidation = E.getApplicativeValidation(NEA.getSemigroup<FieldError>())

// Now errors know which field they belong to
const validateEmail = (email: string): E.Either<FormErrors, string> =>
  !email ? E.left(fieldError('email', 'Required'))
  : !email.includes('@') ? E.left(fieldError('email', 'Invalid format'))
  : E.right(email)

// Easy to display in UI
const getFieldError = (errors: FormErrors, field: string): string | undefined =>
  errors.find(e => e.field === field)?.message

Imported: 5. Async Operations (TaskEither)

For async operations that can fail, use TaskEither. It's like Either but for promises.

• TaskEither<E, A> = a function that returns Promise<Either<E, A>>
• Lazy: nothing runs until you execute it

import * as TE from 'fp-ts/TaskEither'
import { pipe } from 'fp-ts/function'

// Wrap any async operation
const fetchUser = (id: string): TE.TaskEither<Error, User> =>
  TE.tryCatch(
    () => fetch(`/api/users/${id}`).then(r => r.json()),
    (e) => (e instanceof Error ? e : new Error(String(e)))
  )

// Chain async operations - just like Either
const getUserPosts = (userId: string): TE.TaskEither<Error, Post[]> =>
  pipe(
    fetchUser(userId),
    TE.chain(user => fetchPosts(user.id))
  )

// Execute when ready
const result = await getUserPosts('123')() // Returns Either<Error, Post[]>

Before: Promise Chain with Error Handling

// MESSY: try/catch mixed with promise chains
async function loadDashboard(userId: string) {
  try {
    const user = await fetchUser(userId)
    if (!user) throw new Error('User not found')

    let posts, notifications, settings
    try {
      [posts, notifications, settings] = await Promise.all([
        fetchPosts(user.id),
        fetchNotifications(user.id),
        fetchSettings(user.id)
      ])
    } catch (e) {
      // Which one failed? Who knows!
      console.error('Failed to load data', e)
      return null
    }

    return { user, posts, notifications, settings }
  } catch (e) {
    console.error('Failed to load user', e)
    return null
  }
}

After: Clean TaskEither Pipeline

import * as TE from 'fp-ts/TaskEither'
import { sequenceS } from 'fp-ts/Apply'
import { pipe } from 'fp-ts/function'

const loadDashboard = (userId: string) =>
  pipe(
    fetchUser(userId),
    TE.chain(user =>
      pipe(
        // Parallel fetch with sequenceS
        sequenceS(TE.ApplyPar)({
          posts: fetchPosts(user.id),
          notifications: fetchNotifications(user.id),
          settings: fetchSettings(user.id)
        }),
        TE.map(data => ({ user, ...data }))
      )
    )
  )

// Execute and handle both cases
pipe(
  loadDashboard('123'),
  TE.fold(
    (error) => T.of(renderError(error)),
    (data) => T.of(renderDashboard(data))
  )
)()

Retry Failed Operations

import * as T from 'fp-ts/Task'
import * as TE from 'fp-ts/TaskEither'
import { pipe } from 'fp-ts/function'

const retry = <E, A>(
  task: TE.TaskEither<E, A>,
  attempts: number,
  delayMs: number
): TE.TaskEither<E, A> =>
  pipe(
    task,
    TE.orElse((error) =>
      attempts > 1
        ? pipe(
            T.delay(delayMs)(T.of(undefined)),
            T.chain(() => retry(task, attempts - 1, delayMs * 2))
          )
        : TE.left(error)
    )
  )

// Retry up to 3 times with exponential backoff
const fetchWithRetry = retry(fetchUser('123'), 3, 1000)

Fallback to Alternative

// Try cache first, fall back to API
const getUserData = (id: string) =>
  pipe(
    fetchFromCache(id),
    TE.orElse(() => fetchFromApi(id)),
    TE.orElse(() => TE.right(defaultUser)) // Last resort default
  )

Imported: 6. Converting Between Patterns

Real codebases have throwing functions, nullable values, and promises. Here's how to work with them.

From Nullable to Either

import * as E from 'fp-ts/Either'
import * as O from 'fp-ts/Option'

// Direct conversion
const user = users.find(u => u.id === id) // User | undefined
const result = E.fromNullable('User not found')(user)

// From Option
const maybeUser: O.Option<User> = O.fromNullable(user)
const eitherUser = pipe(
  maybeUser,
  E.fromOption(() => 'User not found')
)

From Throwing Function to Either

// Wrap at the boundary
const safeParse = <T>(schema: ZodSchema<T>) => (data: unknown): E.Either<ZodError, T> =>
  E.tryCatch(
    () => schema.parse(data),
    (e) => e as ZodError
  )

// Use throughout your code
const parseUser = safeParse(UserSchema)
const result = parseUser(rawData) // Either<ZodError, User>

From Promise to TaskEither

import * as TE from 'fp-ts/TaskEither'

// Wrap external async functions
const fetchJson = <T>(url: string): TE.TaskEither<Error, T> =>
  TE.tryCatch(
    () => fetch(url).then(r => r.json()),
    (e) => new Error(`Fetch failed: ${e}`)
  )

// Wrap axios, prisma, any async library
const getUserFromDb = (id: string): TE.TaskEither<DbError, User> =>
  TE.tryCatch(
    () => prisma.user.findUniqueOrThrow({ where: { id } }),
    (e) => ({ code: 'DB_ERROR', cause: e })
  )

Back to Promise (Escape Hatch)

Sometimes you need a plain Promise for external APIs.

import * as TE from 'fp-ts/TaskEither'
import * as E from 'fp-ts/Either'

const myTaskEither: TE.TaskEither<Error, User> = fetchUser('123')

// Option 1: Get the Either (preserves both cases)
const either: E.Either<Error, User> = await myTaskEither()

// Option 2: Throw on error (for legacy code)
const toThrowingPromise = <E, A>(te: TE.TaskEither<E, A>): Promise<A> =>
  te().then(E.fold(
    (error) => Promise.reject(error),
    (value) => Promise.resolve(value)
  ))

const user = await toThrowingPromise(fetchUser('123')) // Throws if Left

// Option 3: Default on error
const user = await pipe(
  fetchUser('123'),
  TE.getOrElse(() => T.of(defaultUser))
)()

Imported: Real Scenarios

Parse User Input Safely

interface ParsedInput {
  id: number
  name: string
  tags: string[]
}

const parseInput = (raw: unknown): E.Either<string, ParsedInput> =>
  pipe(
    E.Do,
    E.bind('obj', () =>
      typeof raw === 'object' && raw !== null
        ? E.right(raw as Record<string, unknown>)
        : E.left('Input must be an object')
    ),
    E.bind('id', ({ obj }) =>
      typeof obj.id === 'number'
        ? E.right(obj.id)
        : E.left('id must be a number')
    ),
    E.bind('name', ({ obj }) =>
      typeof obj.name === 'string' && obj.name.length > 0
        ? E.right(obj.name)
        : E.left('name must be a non-empty string')
    ),
    E.bind('tags', ({ obj }) =>
      Array.isArray(obj.tags) && obj.tags.every(t => typeof t === 'string')
        ? E.right(obj.tags as string[])
        : E.left('tags must be an array of strings')
    ),
    E.map(({ id, name, tags }) => ({ id, name, tags }))
  )

// Usage
parseInput({ id: 1, name: 'test', tags: ['a', 'b'] })
// Right({ id: 1, name: 'test', tags: ['a', 'b'] })

parseInput({ id: 'wrong', name: '', tags: null })
// Left('id must be a number')

API Call with Full Error Handling

interface ApiError {
  code: string
  message: string
  status?: number
}

const createApiError = (message: string, code = 'UNKNOWN', status?: number): ApiError =>
  ({ code, message, status })

const fetchWithErrorHandling = <T>(url: string): TE.TaskEither<ApiError, T> =>
  pipe(
    TE.tryCatch(
      () => fetch(url),
      () => createApiError('Network error', 'NETWORK')
    ),
    TE.chain(response =>
      response.ok
        ? TE.tryCatch(
            () => response.json() as Promise<T>,
            () => createApiError('Invalid JSON', 'PARSE')
          )
        : TE.left(createApiError(
            `HTTP ${response.status}`,
            response.status === 404 ? 'NOT_FOUND' : 'HTTP_ERROR',
            response.status
          ))
    )
  )

// Usage with pattern matching on error codes
const handleUserFetch = (userId: string) =>
  pipe(
    fetchWithErrorHandling<User>(`/api/users/${userId}`),
    TE.fold(
      (error) => {
        switch (error.code) {
          case 'NOT_FOUND': return T.of(showNotFoundPage())
          case 'NETWORK': return T.of(showOfflineMessage())
          default: return T.of(showGenericError(error.message))
        }
      },
      (user) => T.of(showUserProfile(user))
    )
  )

Process List Where Some Items Might Fail

import * as A from 'fp-ts/Array'
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'

interface ProcessResult<T> {
  successes: T[]
  failures: Array<{ item: unknown; error: string }>
}

// Process all, collect successes and failures separately
const processAllCollectErrors = <T, R>(
  items: T[],
  process: (item: T) => E.Either<string, R>
): ProcessResult<R> => {
  const results = items.map((item, index) =>
    pipe(
      process(item),
      E.mapLeft(error => ({ item, error, index }))
    )
  )

  return {
    successes: pipe(results, A.filterMap(E.toOption)),
    failures: pipe(
      results,
      A.filterMap(r => E.isLeft(r) ? O.some(r.left) : O.none)
    )
  }
}

// Usage
const parseNumbers = (inputs: string[]) =>
  processAllCollectErrors(inputs, input => {
    const n = parseInt(input, 10)
    return isNaN(n) ? E.left(`Invalid number: ${input}`) : E.right(n)
  })

parseNumbers(['1', 'abc', '3', 'def'])
// {
//   successes: [1, 3],
//   failures: [
//     { item: 'abc', error: 'Invalid number: abc', index: 1 },
//     { item: 'def', error: 'Invalid number: def', index: 3 }
//   ]
// }

Bulk Operations with Partial Success

import * as TE from 'fp-ts/TaskEither'
import * as T from 'fp-ts/Task'
import { pipe } from 'fp-ts/function'

interface BulkResult<T> {
  succeeded: T[]
  failed: Array<{ id: string; error: string }>
}

const bulkProcess = <T>(
  ids: string[],
  process: (id: string) => TE.TaskEither<string, T>
): T.Task<BulkResult<T>> =>
  pipe(
    ids,
    A.map(id =>
      pipe(
        process(id),
        TE.fold(
          (error) => T.of({ type: 'failed' as const, id, error }),
          (result) => T.of({ type: 'succeeded' as const, result })
        )
      )
    ),
    T.sequenceArray,
    T.map(results => ({
      succeeded: results
        .filter((r): r is { type: 'succeeded'; result: T } => r.type === 'succeeded')
        .map(r => r.result),
      failed: results
        .filter((r): r is { type: 'failed'; id: string; error: string } => r.type === 'failed')
        .map(({ id, error }) => ({ id, error }))
    }))
  )

// Usage
const deleteUsers = (userIds: string[]) =>
  bulkProcess(userIds, id =>
    pipe(
      deleteUser(id),
      TE.mapLeft(e => e.message)
    )
  )

// All operations run, you get a report of what worked and what didn't

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.