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Rust Backend

Checked
windmill-labs·vlatest·backend

Helps with Rust, backend development as part of developing backend services and APIs 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 windmill-labs/windmill --skill rust-backend -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

windmill-labs

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 windmill-labs/windmill at 649c43e7c1.

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

Commit
649c43e7c1
Manifest
.agents/skills/rust-backend/SKILL.md
Scanned
1 file, 101 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

The rust-backend skill enables AI agents to generate, build, and deploy production-grade backend services using Rust. It handles the full lifecycle from writing type-safe code to containerizing applications for cloud deployment.

When to use it

  • Building high-performance APIs that require low latency and minimal memory footprint.
  • Developing secure microservices where strict type safety is critical for preventing runtime errors.
  • Creating backend infrastructure that needs to be compiled into static binaries for easy distribution.
  • Deploying services to containerized environments like Docker or Kubernetes with optimized resource usage.

Key capabilities

  • Generates idiomatic Rust code for backend logic and API endpoints.
  • Manages project dependencies and builds the application using cargo.
  • Creates Dockerfiles to containerize the compiled Rust binary.
  • Deploys the resulting container images to cloud platforms or local registries.

Example prompts

  • "Create a high-performance REST API in Rust using Axum that handles user authentication."
  • "Write a secure microservice in Rust with strict type checking and deploy it as a Docker container."
  • "Generate a static binary backend service in Rust optimized for low memory usage on edge devices."

Tips & gotchas

  • Ensure your AI agent has access to the Rust toolchain (cargo) or appropriate cloud credentials to complete the deployment steps.
  • This skill is best suited for scenarios where performance and safety outweigh the longer initial compile times compared to interpreted languages.