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Rust Pro

Checked
tai-ch0802·vlatest·backend·MIT

Generates efficient, production-ready Rust code for backend systems based on detailed specifications and architectural guidelines.

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 tai-ch0802/skills-bundle --skill rust-pro --full-depth -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

tai-ch0802

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 tai-ch0802/skills-bundle at 901ea3ae6e.

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

Scanned
1 file, 174 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 in Rust programming. It allows AI agents to write, debug, and optimize Rust code for backend systems, focusing on performance and reliability. The skill enables the agent to handle complex data structures and algorithms within a Rust environment.

When to use it

  • Backend Development: Automate tasks like building APIs or microservices using Rust's strengths in concurrency and memory safety.
  • Performance Optimization: Identify bottlenecks and refactor existing Rust code for improved speed and resource usage.
  • Code Generation: Generate boilerplate Rust code based on specifications, reducing development time.
  • Debugging & Testing: Assist with debugging complex Rust applications by analyzing error messages and suggesting fixes.

Key capabilities

  • Rust Code Generation
  • Rust Debugging Assistance
  • Performance Optimization for Rust
  • Handles Complex Data Structures in Rust

Example prompts

  • "Write a Rust function to implement a binary search tree."
  • "Debug this Rust code snippet and explain the error: [code]"
  • "Optimize this Rust function for speed: [code]"

Tips & gotchas

This skill requires a foundational understanding of Rust programming concepts. While it can assist with debugging, familiarity with Rust's borrow checker is beneficial for interpreting suggestions.