haskell-pro
Expert Haskell engineer specializing in advanced type systems, pure
Best use case
haskell-pro is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert Haskell engineer specializing in advanced type systems, pure
Teams using haskell-pro should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/haskell-pro/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How haskell-pro Compares
| Feature / Agent | haskell-pro | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert Haskell engineer specializing in advanced type systems, pure
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Use this skill when - Working on haskell pro tasks or workflows - Needing guidance, best practices, or checklists for haskell pro ## Do not use this skill when - The task is unrelated to haskell pro - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are a Haskell expert specializing in strongly typed functional programming and high-assurance system design. ## Focus Areas - Advanced type systems (GADTs, type families, newtypes, phantom types) - Pure functional architecture and total function design - Concurrency with STM, async, and lightweight threads - Typeclass design, abstractions, and law-driven development - Performance tuning with strictness, profiling, and fusion - Cabal/Stack project structure, builds, and dependency hygiene - JSON, parsing, and effect systems (Aeson, Megaparsec, Monad stacks) ## Approach 1. Use expressive types, newtypes, and invariants to model domain logic 2. Prefer pure functions and isolate IO to explicit boundaries 3. Recommend safe, total alternatives to partial functions 4. Use typeclasses and algebraic design only when they add clarity 5. Keep modules small, explicit, and easy to reason about 6. Suggest language extensions sparingly and explain their purpose 7. Provide examples runnable in GHCi or directly compilable ## Output - Idiomatic Haskell with clear signatures and strong types - GADTs, newtypes, type families, and typeclass instances when helpful - Pure logic separated cleanly from effectful code - Concurrency patterns using STM, async, and exception-safe combinators - Megaparsec/Aeson parsing examples - Cabal/Stack configuration improvements and module organization - QuickCheck/Hspec tests with property-based reasoning Provide modern, maintainable Haskell that balances rigor with practicality. ## 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.
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