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Peyton Jones Practical Haskell

Checked
copyleftdev·vlatest·backend·Apache-2.0

Peyton Jones' Practical Haskell guides beginners through Haskell fundamentals with clear examples and exercises, boosting your programming skills.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add copyleftdev/sk1llz --skill peyton-jones-practical-haskell -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

copyleftdev

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Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned copyleftdev/sk1llz at 92361f525f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
92361f525f
Manifest
paradigms/functional/peyton-jones/SKILL.md
Scanned
1 file, 256 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to generate and understand Haskell code based on the principles outlined in "Peyton Jones's Practical OCaml." It can translate natural language descriptions into functional Haskell code, explain existing Haskell code snippets, and assist with debugging. The skill focuses on practical application rather than purely theoretical concepts.

When to use it

  • Code Generation: Generate simple Haskell functions or data structures from a description of their purpose. For example, creating a function to calculate the factorial of a number.
  • Code Explanation: Get explanations of existing Haskell code snippets, particularly those utilizing functional programming paradigms.
  • Debugging Assistance: Receive suggestions for identifying and correcting errors in Haskell programs.
  • Learning Haskell: Use it as a supplementary tool when learning Haskell, to clarify concepts or generate examples.

Key capabilities

  • Haskell Code Generation
  • Code Explanation
  • Debugging Suggestions
  • Functional Programming Paradigm Understanding

Example prompts

  • "Write a Haskell function that calculates the nth Fibonacci number."
  • "Explain this Haskell code: map (\x -> x * 2) [1, 2, 3]"
  • "I'm getting an error 'Non-exhaustive patterns in function'. Can you help me debug this Haskell code?"

Tips & gotchas

The skill’s effectiveness is tied to the clarity and specificity of your prompts. Providing context or examples can significantly improve the quality of generated or explained code.