Systems Programming Rust Project
Systems Programming Rust Project is an code AI skill with a core value of You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing
Quick Facts
mkdir -p ./skills/systems-programming-rust-project && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/systems-programming-rust-project/SKILL.md -o ./skills/systems-programming-rust-project/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Rust Project Scaffolding
You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing setup, and configuration following Rust best practices.
Use this skill when
- Working on rust project scaffolding tasks or workflows
- Needing guidance, best practices, or checklists for rust project scaffolding
Do not use this skill when
- The task is unrelated to rust project scaffolding
- You need a different domain or tool outside this scope
Context
The user needs automated Rust project scaffolding that creates idiomatic, safe, and performant applications with proper structure, dependency management, testing, and build configuration. Focus on Rust idioms and scalable architecture.
Requirements
$ARGUMENTS
Instructions
1. Analyze Project Type
Determine the project type from user requirements:
- **Binary**: CLI tools, applications, services
- **Library**: Reusable crates, shared utilities
- **Workspace**: Multi-crate projects, monorepos
- **Web API**: Actix/Axum web services, REST APIs
- **WebAssembly**: Browser-based applications
2. Initialize Project with Cargo
# Create binary project
cargo new project-name
cd project-name
# Or create library
cargo new --lib library-name
# Initialize git (cargo does this automatically)
# Add to .gitignore if needed
echo "/target" >> .gitignore
echo "Cargo.lock" >> .gitignore # For libraries only3. Generate Binary Project Structure
binary-project/
├── Cargo.toml
├── README.md
├── src/
│ ├── main.rs
│ ├── config.rs
│ ├── cli.rs
│ ├── commands/
│ │ ├── mod.rs
│ │ ├── init.rs
│ │ └── run.rs
│ ├── error.rs
│ └── lib.rs
├── tests/
│ ├── integration_test.rs
│ └── common/
│ └── mod.rs
├── benches/
│ └── benchmark.rs
└── examples/
└── basic_usage.rs**Cargo.toml**:
[package]
name = "project-name"
version = "0.1.0"
edition = "2021"
rust-version = "1.75"
authors = ["Your Name <email@example.com>"]
description = "Project description"
license = "MIT OR Apache-2.0"
repository = "https://github.com/user/project-name"
[dependencies]
clap = { version = "4.5", features = ["derive"] }
tokio = { version = "1.36", features = ["full"] }
anyhow = "1.0"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
[dev-dependencies]
criterion = "0.5"
[[bench]]
name = "benchmark"
harness = false
[profile.release]
opt-level = 3
lto = true
codegen-units = 1**src/main.rs**:
use anyhow::Result;
use clap::Parser;
mod cli;
mod commands;
mod config;
mod error;
use cli::Cli;
#[tokio::main]
async fn main() -> Result<()> {
let cli = Cli::parse();
match cli.command {
cli::Commands::Init(args) => commands::init::execute(args).await?,
cli::Commands::Run(args) => commands::run::execute(args).await?,
}
Ok(())
}**src/cli.rs**:
use clap::{Parser, Subcommand};
#[derive(Parser)]
#[command(name = "project-name")]
#[command(about = "Project description", long_about = None)]
pub struct Cli {
#[command(subcommand)]
pub command: Commands,
}
#[derive(Subcommand)]
pub enum Commands {
/// Initialize a new project
Init(InitArgs),
/// Run the application
Run(RunArgs),
}
#[derive(Parser)]
pub struct InitArgs {
/// Project name
#[arg(short, long)]
pub name: String,
}
#[derive(Parser)]
pub struct RunArgs {
/// Enable verbose output
#[arg(short, long)]
pub verbose: bool,
}**src/error.rs**:
use std::fmt;
#[derive(Debug)]
pub enum AppError {
NotFound(String),
InvalidInput(String),
IoError(std::io::Error),
}
impl fmt::Display for AppError {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
match self {
AppError::NotFound(msg) => write!(f, "Not found: {}", msg),
AppError::InvalidInput(msg) => write!(f, "Invalid input: {}🎯 Best For
- QA engineers
- Developers writing unit tests
- Developers scaffolding new projects
- Prototype builders
- Claude users
💡 Use Cases
- Generating test cases for edge conditions
- Writing integration test suites
- Bootstrapping React components
- Creating API route handlers
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Systems Programming Rust Project to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this generate test mocks?
Many testing skills include mock generation. Check the install command and skill content for details.
Can I customize the generated output?
Yes — modify the skill's prompt instructions to match your project conventions and coding style.
Is Systems Programming Rust Project compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Systems Programming Rust Project?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Systems Programming Rust Project?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/systems-programming-rust-project/SKILL.md, ready to use.
⚠️ Common Mistakes to Avoid
Not testing edge cases
AI tends to generate happy-path tests. Manually review for boundary conditions.
Using generated code without understanding
Understand what generated code does before shipping it to production.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.