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Scala Pro

Checked
rmyndharis·vlatest·backend·MIT

Scala Pro assists in generating and understanding Scala code, accelerating development and improving code quality for Scala projects.

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 rmyndharis/antigravity-skills --skill scala-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.

Commit
3eff4af253
Manifest
skills/scala-pro/SKILL.md
Scanned
1 file, 82 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 capabilities related to Scala programming. It allows AI agents to generate, understand, and debug Scala code snippets with improved accuracy and efficiency. The skill is designed to handle complex coding tasks and provide detailed explanations of the generated code.

When to use it

  • Generating Scala code for data processing pipelines.
  • Debugging existing Scala applications and identifying potential errors.
  • Creating unit tests for Scala functions or classes.
  • Explaining complex Scala concepts or algorithms in a simplified manner.
  • Translating requirements into functional Scala code.

Key capabilities

  • Scala Code Generation
  • Code Debugging & Error Identification
  • Unit Test Creation
  • Concept Explanation
  • Requirement Translation

Example prompts

  • "Generate a Scala function to calculate the Fibonacci sequence."
  • "Debug this Scala code snippet: [insert code here]"
  • "Write unit tests for this Scala class: [insert class definition here]"
  • “Explain how to use Akka actors in Scala.”

Tips & gotchas

The skill's performance is dependent on the clarity and specificity of the prompts. Providing detailed context or examples will yield better results.