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Haskell Pro

Checked
rmyndharis·vlatest·backend·MIT

Haskell Pro helps you generate and understand Haskell code snippets quickly, boosting productivity for Haskell developers.

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 rmyndharis/antigravity-skills --skill haskell-pro -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

rmyndharis

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 56 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 provides advanced Haskell programming capabilities to AI agents. It enables complex code generation, debugging, and analysis within the Haskell ecosystem. The agent can leverage this skill to solve intricate problems requiring functional programming paradigms and build robust applications.

When to use it

  • Code Generation: Generate Haskell code snippets or entire programs based on natural language descriptions of desired functionality.
  • Debugging & Analysis: Analyze existing Haskell code for errors, inefficiencies, or potential improvements.
  • Functional Programming Tasks: Implement complex algorithms and data structures using functional programming techniques.
  • Haskell Project Assistance: Assist with tasks like dependency management, build configuration, and testing in Haskell projects.

Key capabilities

  • Haskell Code Generation
  • Code Debugging & Analysis
  • Functional Programming Implementation
  • Dependency Management (implied)
  • Build Configuration (implied)
  • Testing (implied)

Example prompts

  • "Generate a Haskell function to calculate the Fibonacci sequence."
  • "Analyze this Haskell code for potential memory leaks: [code snippet]"
  • "Write a Haskell program that implements a binary search tree."

Tips & gotchas

The agent's effectiveness depends on its understanding of functional programming concepts. Providing clear and concise instructions is crucial for optimal results with this skill.