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Rust Engineer

Checked
sammcj·vlatest·backend·Apache-2.0

Generates, debugs, and optimizes Rust code for backend systems, ensuring performance and reliability.

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 sammcj/agentic-coding --skill rust-engineer -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

sammcj

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 sammcj/agentic-coding at b3333f90b6.

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

Scanned
1 file, 291 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 empowers AI agents to write, debug, and optimize Rust code with a focus on performance and memory safety. It enables the agent to generate idiomatic Rust solutions, refactor legacy code, and implement complex systems logic directly within your development environment.

When to use it

  • Building high-performance backend services where low latency and efficient resource usage are critical.
  • Refactoring unsafe C or C++ codebases into safe, modern Rust implementations.
  • Developing systems programming tools, embedded software, or WebAssembly modules requiring fine-grained control.
  • Creating CLI utilities or daemons that demand minimal memory footprint and maximum reliability.

Key capabilities

  • Generates production-ready Rust code adhering to language best practices.
  • Performs automated refactoring to improve code structure and safety guarantees.
  • Optimizes algorithms for speed and reduces memory allocation overhead.
  • Handles complex dependency management and crate integration.

Example prompts

  • "Create a high-performance HTTP server in Rust using Axum that handles concurrent requests efficiently."
  • "Refactor this unsafe C++ memory manager into safe Rust code, ensuring zero data races."
  • "Optimize this existing Rust loop to reduce CPU usage while maintaining the same output accuracy."

Tips & gotchas

Ensure your development environment has the latest Rust toolchain installed before invoking this skill for new projects. For legacy integration, explicitly specify any unsafe blocks that must be preserved during refactoring to maintain compatibility with existing external libraries.