Identify GOOD and BAD patterns in Haskell code for correctness and maintainability.
npx skills add https://github.com/mewhhaha/clapse --skill good-haskell-code
Please help me install this Agent Skill. Skill: good-haskell-code Source: https://github.com/mewhhaha/clapse/tree/main/.agents/skills/good-haskell-code Command: npx skills add https://github.com/mewhhaha/clapse --skill good-haskell-code
This skill helps writers and reviewers produce reliable, maintainable Haskell by surfacing concise GOOD/BAD patterns and guiding invariants across architecture, effects, concurrency, FRP, parsing/versioning, and profiling.
Review a code snippet by selecting a routing category (e.g., readability, performance) and present paired GOOD/BAD examples with rationale.
High-intent search queries and answers about installing and using this skill.
Review Haskell code by evaluating explicit GOOD/BAD examples that surface anti-patterns and enforce type-safety invariants. This targets correctness and maintainability improvements across architecture, effects, and error handling.
Best practices for Haskell effects involve enforcing typed errors and maintaining small effect boundaries. Explicit invariants ensure safe error handling and prevent unintended side effects during module refactoring.
Profile Haskell performance by applying benchmarks and checks that provide measurable performance data. This process isolates bottlenecks in concurrency and FRP logic to guide targeted optimizations.
Yes, the pattern guidance is explicitly applied to the GHC 9.14.1 ecosystem. It focuses on architecture, effects, concurrency, FRP, parsing, versioning, and profiling within that specific environment.
Use explicit invariants for Haskell concurrency and FRP when you need to enforce type-safety and ensure measurable performance. They prevent race conditions and maintain stability during complex state transitions.
motoki317Configure, build, test, and run Haskell projects with Cabal, Stack, or GHC.
ihmorolIdentify performance bottlenecks and implement optimizations with benchmark verification.
mattnowdevReview Rust code diffs for correctness, safety, and performance anti-patterns.
takeokunnCodify Haskell project setup best practices for GHC, Cabal/Stack, and type-level programming.
