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Elixir Performance Review

Checked
existential-birds·vlatest·backend·Apache-2.0

Helps with performance optimization, code review as part of agent workflows workflows.

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 existential-birds/beagle --skill elixir-performance-review -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

existential-birds

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 existential-birds/beagle at d1a74899fb.

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

Commit
d1a74899fb
Manifest
plugins/beagle-elixir/skills/elixir-performance-review/SKILL.md
Scanned
5 files, 542 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 analyzes Elixir code and provides performance review suggestions. It identifies potential bottlenecks, suggests optimizations for common patterns, and offers insights into improving overall application efficiency. The reviews are designed to be actionable and helpful for developers of all experience levels working with the Elixir language.

When to use it

  • Code Review: Integrate this skill into your code review process to proactively identify performance issues before they reach production.
  • Performance Tuning: Use it when you're trying to optimize a specific function or module that is exhibiting slow performance.
  • Learning Elixir: Newcomers can use the skill to understand best practices and common pitfalls in Elixir development.
  • Refactoring Existing Code: When refactoring existing codebases, leverage this skill to ensure performance isn't negatively impacted.

Key capabilities

  • Elixir code analysis
  • Performance bottleneck identification
  • Optimization suggestions
  • Actionable insights for developers

Example prompts

  • "Review the following Elixir function and suggest any potential performance improvements: [code snippet]"
  • "Analyze this module for common Elixir performance anti-patterns: [module code]"
  • "Can you provide a performance review of my application's message passing implementation?"

Tips & gotchas

The skill’s effectiveness is dependent on the quality and complexity of the provided Elixir code. For best results, provide complete functions or modules rather than isolated code snippets.