Claude-skill-registry convert-roc-haskell
Convert Roc code to idiomatic Haskell. Use when migrating Roc projects to Haskell, translating Roc patterns to idiomatic Haskell, or refactoring Roc codebases. Extends meta-convert-dev with Roc-to-Haskell specific patterns.
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/convert-roc-haskell" ~/.claude/skills/majiayu000-claude-skill-registry-convert-roc-haskell && rm -rf "$T"
skills/data/convert-roc-haskell/SKILL.mdConvert Roc to Haskell
Convert Roc code to idiomatic Haskell. This skill extends
meta-convert-dev with Roc-to-Haskell specific type mappings, idiom translations, and tooling for migrating platform-based Roc code to pure functional Haskell.
This Skill Extends
- Foundational conversion patterns (APTV workflow, testing strategies)meta-convert-dev
For general concepts like the Analyze → Plan → Transform → Validate workflow, testing strategies, and common pitfalls, see the meta-skill first.
This Skill Adds
- Type mappings: Roc types → Haskell types
- Idiom translations: Roc patterns → idiomatic Haskell
- Error handling: Roc Result → Haskell Either/Maybe
- Platform model: Roc applications/platforms → Haskell IO/mtl
- Abilities: Roc abilities → Haskell type classes
- Tag unions: Roc structural tags → Haskell algebraic data types
This Skill Does NOT Cover
- General conversion methodology - see
meta-convert-dev - Roc language fundamentals - see
lang-roc-dev - Haskell language fundamentals - see
lang-haskell-dev - Reverse conversion (Haskell → Roc) - see
convert-haskell-roc - Platform development - Both use different models; design from scratch
Quick Reference
| Roc | Haskell | Notes |
|---|---|---|
| or | Use Text for production |
, , , | , , , | Unsigned integers |
, , , | , , , | Signed integers |
, | , | Floating point |
| | Direct mapping |
| | Lists |
| | Use Data.Map |
| | Use Data.Set |
| | Note reversed type params |
| | Sum types |
| | Records |
| or | Effects |
| | Constraints |
When Converting Code
- Analyze platform boundaries - Understand where Roc platform ends and application begins
- Map types first - Roc's structural types need explicit Haskell ADTs
- Preserve semantics over syntax similarity
- Embrace laziness - Haskell is lazy by default; Roc is strict
- Handle effects properly - Roc Tasks become IO or monad transformers
- Test equivalence - Same inputs → same outputs for pure logic
Type System Mapping
Primitive Types
| Roc | Haskell | Notes |
|---|---|---|
| | List of Char (less efficient) |
| | Preferred from Data.Text |
| | From Data.Word |
| | From Data.Word |
| | From Data.Word |
| | From Data.Word |
| | No direct u128, use arbitrary precision |
| | From Data.Int |
| | From Data.Int |
| | From Data.Int |
| | From Data.Int |
| | Arbitrary precision |
| | 32-bit float |
| | 64-bit float |
| | Direct mapping |
| Polymorphic number | Use type classes |
Collection Types
| Roc | Haskell | Notes |
|---|---|---|
| | Linked list |
| | For indexed access (Data.Vector) |
| | From Data.Map |
| | From Data.Set |
Composite Types
| Roc | Haskell | Notes |
|---|---|---|
| | Record syntax |
| | Note: type params reversed! |
| | Optional values |
| | Sum types |
| | Tag with payload |
Function Types
| Roc | Haskell | Notes |
|---|---|---|
| | Simple function |
| | Curried by default |
| | Type class constraint |
Idiom Translation
Pattern 1: Records and Record Updates
Roc:
user = { name: "Alice", age: 30, email: "alice@example.com" } # Update syntax olderUser = { user & age: 31 } # Field access userName = user.name
Haskell:
data User = User { name :: Text , age :: Word32 , email :: Text } deriving (Show, Eq) user = User "Alice" 30 "alice@example.com" -- Update syntax olderUser = user { age = 31 } -- Field access (auto-generated accessor functions) userName = name user
Why this translation:
- Roc's anonymous records need named data declarations in Haskell
- Both support record update syntax, but Haskell generates accessor functions
- Haskell requires explicit type declarations; Roc infers structural types
Pattern 2: Tag Unions and Pattern Matching
Roc:
# Tag union Color : [Red, Yellow, Green, Custom(U8, U8, U8)] # Pattern matching colorName = when color is Red -> "red" Yellow -> "yellow" Green -> "green" Custom(r, g, b) -> "rgb(\(Num.toStr(r)), \(Num.toStr(g)), \(Num.toStr(b)))"
Haskell:
-- Algebraic data type data Color = Red | Yellow | Green | Custom Word8 Word8 Word8 deriving (Show, Eq) -- Pattern matching with case colorName :: Color -> String colorName color = case color of Red -> "red" Yellow -> "yellow" Green -> "green" Custom r g b -> "rgb(" ++ show r ++ ", " ++ show g ++ ", " ++ show b ++ ")" -- Or with function patterns colorName' :: Color -> String colorName' Red = "red" colorName' Yellow = "yellow" colorName' Green = "green" colorName' (Custom r g b) = "rgb(" ++ show r ++ ", " ++ show g ++ ", " ++ show b ++ ")"
Why this translation:
- Roc's structural tag unions become nominal ADTs in Haskell
- Both enforce exhaustive pattern matching
- Haskell allows pattern matching in function definitions, not just case expressions
Pattern 3: Result Type and Error Handling
Roc:
divide : I64, I64 -> Result I64 [DivByZero] divide = \a, b -> if b == 0 then Err(DivByZero) else Ok(a // b) # Using try (!) for propagation calculate : I64, I64, I64 -> Result I64 [DivByZero] calculate = \a, b, c -> x = divide!(a, b) y = divide!(x, c) Ok(y)
Haskell:
-- Either for errors (note reversed params from Roc) data DivError = DivByZero deriving (Show, Eq) divide :: Int64 -> Int64 -> Either DivError Int64 divide a 0 = Left DivByZero divide a b = Right (a `div` b) -- Using do-notation for propagation calculate :: Int64 -> Int64 -> Int64 -> Either DivError Int64 calculate a b c = do x <- divide a b y <- divide x c return y -- Or with applicative style calculate' :: Int64 -> Int64 -> Int64 -> Either DivError Int64 calculate' a b c = divide a b >>= \x -> divide x c
Why this translation:
- Roc's
maps to Haskell'sResult a e
(type params reversed!)Either e a - Roc's
suffix maps to Haskell's!
in do-notation<- - Both provide monadic error propagation
- Haskell's Either is more general (any error type), Roc uses tag unions
Pattern 4: Abilities to Type Classes
Roc:
# Using ability constraint toString : a -> Str where a implements Inspect toString = \value -> Inspect.toStr(value) # Custom type automatically implements abilities User : { name : Str, age : U32, } user = { name: "Alice", age: 30 } expect Inspect.toStr(user) == "{ name: \"Alice\", age: 30 }"
Haskell:
-- Type class constraint toString :: (Show a) => a -> String toString value = show value -- Custom type with deriving data User = User { name :: Text , age :: Word32 } deriving (Show, Eq) user = User "Alice" 30 -- show user == "User {name = \"Alice\", age = 30}"
Why this translation:
- Roc abilities are similar to Haskell type classes
- Roc auto-derives abilities; Haskell requires explicit
clausesderiving - Haskell has more established type classes (Functor, Monad, etc.)
Pattern 5: List Pipeline Operations
Roc:
numbers = [1, 2, 3, 4, 5] result = numbers |> List.map(\n -> n * 2) |> List.keepIf(\n -> n > 5) |> List.walk(0, \acc, n -> acc + n)
Haskell:
import Data.Function ((&)) numbers = [1, 2, 3, 4, 5] -- Using function composition (right to left) result = foldr (+) 0 . filter (>5) . map (*2) $ numbers -- Or using & operator (left to right, like Roc) result' = numbers & map (*2) & filter (>5) & foldr (+) 0
Why this translation:
- Roc's
maps to Haskell's|>
operator& - Function composition
is more idiomatic but reads backward. - Haskell's
/foldr
map to Roc'sfoldlList.walk
Error Handling
Result → Either Translation
Type Mapping:
Roc: Result a e [Ok a, Err e] Haskell: Either e a Left e | Right a
Key Difference: Type parameters are reversed!
Roc:
parseAge : Str -> Result U32 [ParseError Str] parseAge = \str -> when Str.toU32(str) is Ok(n) -> Ok(n) Err(_) -> Err(ParseError("Not a valid number")) # Chain operations validateUser : Str, Str -> Result User [ParseError Str, InvalidEmail] validateUser = \ageStr, emailStr -> age = parseAge!(ageStr) email = validateEmail!(emailStr) Ok({ name: "User", age, email })
Haskell:
import Text.Read (readMaybe) import Data.Text (Text) data ValidationError = ParseError String | InvalidEmail deriving (Show, Eq) parseAge :: Text -> Either ValidationError Word32 parseAge str = case readMaybe (unpack str) of Just n -> Right n Nothing -> Left (ParseError "Not a valid number") -- Chain with do-notation validateUser :: Text -> Text -> Either ValidationError User validateUser ageStr emailStr = do age <- parseAge ageStr email <- validateEmail emailStr return $ User "User" age email
Multiple Error Types
Roc:
# Tag union for multiple errors Error : [ParseError Str, DivByZero, NetworkError Str] process : Str, Str -> Result I64 Error process = \aStr, bStr -> a = Str.toI64!(aStr) |> Result.mapErr(\_ -> ParseError("Invalid a")) b = Str.toI64!(bStr) |> Result.mapErr(\_ -> ParseError("Invalid b")) divide!(a, b) |> Result.mapErr(\_ -> DivByZero)
Haskell:
data Error = ParseError String | DivByZero | NetworkError String deriving (Show, Eq) process :: Text -> Text -> Either Error Int64 process aStr bStr = do a <- parseI64 aStr `mapLeft` const (ParseError "Invalid a") b <- parseI64 bStr `mapLeft` const (ParseError "Invalid b") divide a b `mapLeft` const DivByZero where mapLeft f (Left e) = Left (f e) mapLeft _ (Right x) = Right x
Platform Model Translation
Roc Platform/Application → Haskell IO
Roc Application:
app [main] { pf: platform "https://github.com/roc-lang/basic-cli/releases/..." } import pf.Stdout import pf.Task exposing [Task] import pf.File main : Task {} [] main = content = File.readUtf8!("input.txt") processed = Str.toUpper(content) File.writeUtf8!("output.txt", processed) Stdout.line!("Done!")
Haskell:
import qualified Data.Text.IO as TIO import qualified Data.Text as T import System.IO main :: IO () main = do content <- TIO.readFile "input.txt" let processed = T.toUpper content TIO.writeFile "output.txt" processed putStrLn "Done!"
Key Differences:
- Roc separates platform (I/O) from application (pure code)
- Haskell uses IO monad throughout
- Roc's
suffix maps to Haskell's!
in do-notation<- - Both use monadic composition for effects
Task Error Handling
Roc:
readConfig : Str -> Task Config [FileNotFound, ParseError Str] readConfig = \path -> content = File.readUtf8!(path) # May fail with FileNotFound when parseJson(content) is Ok(config) -> Task.ok(config) Err(e) -> Task.err(ParseError(e))
Haskell:
import Control.Monad.Except import qualified Data.Text.IO as TIO data ConfigError = FileNotFound | ParseError String deriving (Show, Eq) readConfig :: FilePath -> ExceptT ConfigError IO Config readConfig path = do contentE <- liftIO $ try $ TIO.readFile path content <- case contentE of Left (_ :: IOException) -> throwError FileNotFound Right c -> return c case parseJson content of Left e -> throwError (ParseError e) Right config -> return config
Why this translation:
- Roc Tasks with error types map to
ExceptT err IO a - Both provide error propagation and recovery
- Haskell separates IO errors (exceptions) from domain errors (Either/ExceptT)
Concurrency Patterns
Roc Task Concurrency → Haskell Async
Roc:
# Platform-provided concurrency import pf.Task exposing [Task] import pf.Http fetchBoth : Task (Str, Str) [HttpErr] fetchBoth = # Platform may execute concurrently Task.parallel2( Http.get("http://api.example.com/1"), Http.get("http://api.example.com/2") )
Haskell:
import Control.Concurrent.Async import Network.HTTP.Simple fetchBoth :: IO (ByteString, ByteString) fetchBoth = concurrently (getResponseBody <$> httpBS "http://api.example.com/1") (getResponseBody <$> httpBS "http://api.example.com/2") -- Or with race (first wins) fetchFirst :: IO ByteString fetchFirst = race (getResponseBody <$> httpBS "http://api.example.com/1") (getResponseBody <$> httpBS "http://api.example.com/2") >>= either return return
Why this translation:
- Roc delegates all concurrency to the platform
- Haskell provides explicit concurrency primitives (async library)
- Both provide structured concurrency with proper cleanup
No Direct Threading
Roc:
# Roc applications don't directly manage threads # All concurrency is platform capability # Task composition is the only abstraction
Haskell:
import Control.Concurrent -- Haskell provides lightweight threads main = do forkIO $ do threadDelay 1000000 putStrLn "Hello from thread" putStrLn "Main thread continues" threadDelay 2000000 -- Use async for structured concurrency (recommended) import Control.Concurrent.Async main' = do a <- async $ do threadDelay 1000000 return "result" result <- wait a print result
Laziness Translation
Roc (Strict) → Haskell (Lazy)
Roc:
# Roc is strict by default numbers = [1, 2, 3, 4, 5] # This evaluates immediately doubled = List.map(numbers, \n -> n * 2) # Infinite lists require Stream or explicit laziness naturals = Stream.iterate(0, \n -> n + 1)
Haskell:
-- Haskell is lazy by default numbers = [1, 2, 3, 4, 5] -- This creates a thunk, evaluated on demand doubled = map (*2) numbers -- Infinite lists work naturally naturals = iterate (+1) 0 take 10 naturals -- [0,1,2,3,4,5,6,7,8,9] -- Force strict evaluation when needed import Control.DeepSeq strictDoubled = force $ map (*2) numbers
Key Differences:
- Roc evaluates eagerly; add explicit limits before processing
- Haskell evaluates lazily; infinite structures work out of the box
- When converting, be careful with space leaks in Haskell (use
,seq
, or strict data structures)$!
Common Pitfalls
1. Result Type Parameter Order
❌ Assuming Roc Result and Haskell Either have same param order ✓ Remember: Result a e → Either e a (reversed!)
Roc:
divide : I64, I64 -> Result I64 [DivByZero] # Result ^ok ^err
Haskell:
divide :: Int64 -> Int64 -> Either DivError Int64 -- Either ^err ^ok
2. Structural vs Nominal Types
❌ Using Haskell tuples for Roc records ✓ Define proper ADTs with record syntax
Roc:
user = { name: "Alice", age: 30 } # Structural type
Haskell:
-- Wrong: (Text, Word32) -- Positional, no field names -- Right: data User = User { name :: Text, age :: Word32 }
3. Platform Boundary Confusion
❌ Trying to replicate Roc's platform model in Haskell ✓ Use IO monad or mtl transformers for effects
4. Strict vs Lazy Semantics
❌ Assuming Roc's eager evaluation in Haskell ✓ Add explicit limits (take, drop) before consuming infinite lists ✓ Use strict variants when performance matters (foldl', force)
5. Ability Auto-Derivation
❌ Expecting Haskell to auto-derive like Roc ✓ Add explicit deriving clauses (Show, Eq, etc.)
Tooling
| Tool | Purpose | Notes |
|---|---|---|
| GHC | Haskell compiler | Primary compiler |
| GHCi | REPL | Interactive development |
| Stack | Build tool | Dependency management, reproducible builds |
| Cabal | Build tool | Alternative to Stack |
| HLint | Linter | Code suggestions |
| Ormolu / Brittany | Formatter | Code formatting |
| hspec / QuickCheck | Testing | Unit and property-based tests |
No direct Roc→Haskell transpiler exists; conversion is manual.
Examples
Example 1: Simple - Tag Union Pattern Matching
Before (Roc):
Status : [Pending, Approved, Rejected] handleStatus : Status -> Str handleStatus = \status -> when status is Pending -> "Waiting..." Approved -> "Done!" Rejected -> "Failed"
After (Haskell):
data Status = Pending | Approved | Rejected deriving (Show, Eq) handleStatus :: Status -> String handleStatus Pending = "Waiting..." handleStatus Approved = "Done!" handleStatus Rejected = "Failed"
Example 2: Medium - Result with Error Propagation
Before (Roc):
divide : I64, I64 -> Result I64 [DivByZero] divide = \a, b -> if b == 0 then Err(DivByZero) else Ok(a // b) calculate : I64, I64, I64 -> Result I64 [DivByZero] calculate = \a, b, c -> x = divide!(a, b) y = divide!(x, c) Ok(y) # Usage when calculate(20, 4, 2) is Ok(result) -> Num.toStr(result) Err(DivByZero) -> "Error: division by zero"
After (Haskell):
data DivError = DivByZero deriving (Show, Eq) divide :: Int64 -> Int64 -> Either DivError Int64 divide _ 0 = Left DivByZero divide a b = Right (a `div` b) calculate :: Int64 -> Int64 -> Int64 -> Either DivError Int64 calculate a b c = do x <- divide a b y <- divide x c return y -- Usage result = case calculate 20 4 2 of Right r -> show r Left DivByZero -> "Error: division by zero"
Example 3: Complex - Platform Application to IO
Before (Roc):
app [main] { pf: platform "https://github.com/roc-lang/basic-cli/releases/..." } import pf.Stdout import pf.File import pf.Task exposing [Task] Config : { port : U16, host : Str } parseConfig : Str -> Result Config [ParseError Str] parseConfig = \content -> # Parse JSON content when Json.decode(content) is Ok(config) -> Ok(config) Err(e) -> Err(ParseError(e)) main : Task {} [] main = # Read config file content = File.readUtf8!("config.json") # Parse config config = when parseConfig(content) is Ok(c) -> Task.ok!(c) Err(ParseError(msg)) -> Stdout.line!("Config error: \(msg)") Task.err!(ConfigError) # Use config Stdout.line!("Starting server on \(config.host):\(Num.toStr(config.port))")
After (Haskell):
{-# LANGUAGE DeriveGeneric #-} import qualified Data.Text.IO as TIO import qualified Data.Text as T import Data.Aeson (FromJSON, eitherDecode) import GHC.Generics import Control.Monad.Except import qualified Data.ByteString.Lazy as BL data Config = Config { port :: Word16 , host :: Text } deriving (Generic, Show) instance FromJSON Config data AppError = ParseError String | ConfigError deriving (Show, Eq) parseConfig :: BL.ByteString -> Either AppError Config parseConfig content = case eitherDecode content of Right config -> Right config Left err -> Left (ParseError err) main :: IO () main = do result <- runExceptT $ do -- Read config file content <- liftIO $ BL.readFile "config.json" -- Parse config config <- case parseConfig content of Right c -> return c Left (ParseError msg) -> do liftIO $ putStrLn $ "Config error: " ++ msg throwError ConfigError -- Use config liftIO $ putStrLn $ "Starting server on " ++ T.unpack (host config) ++ ":" ++ show (port config) case result of Left err -> putStrLn $ "Error: " ++ show err Right _ -> return ()
See Also
For more examples and patterns, see:
- Foundational patterns with cross-language examplesmeta-convert-dev
- Similar pure functional language conversionconvert-elm-haskell
- Roc development patternslang-roc-dev
- Haskell development patternslang-haskell-dev
Cross-cutting pattern skills:
- Compare Roc Task model with Haskell async/STMpatterns-concurrency-dev
- JSON handling across languagespatterns-serialization-dev
- Template Haskell vs no metaprogramming in Rocpatterns-metaprogramming-dev