Claude
Chat app · Skill upload
In Claude, open Customize → Skills and use Create skill to upload the ZIP. Skill availability depends on your plan and workspace settings.
Official Claude setup →Community skill · Free instruction package
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
Community instruction package. Read the full workflow below, then choose your app in the setup guide. Package instructions and compatibility claims have not been individually verified; check dependencies and license before use.
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Chat app · Skill upload
In Claude, open Customize → Skills and use Create skill to upload the ZIP. Skill availability depends on your plan and workspace settings.
Official Claude setup →Chat app · Access varies
Where Skills is available, open Plugins → Skills → Create → Upload from your computer. Otherwise, copy the instructions into a chat and add your brief; this does not install a skill or include its supporting files.
Official ChatGPT setup →Agent · Project skills
Extract the complete skill folder into your project’s .agents/skills directory. Ask the agent to use the skill for your task.
.agents/skills/systems-programming-rust-project/SKILL.mdOfficial Google Antigravity setup →Code editor · Project skills
Extract the complete folder into .cursor/skills. Check the editor’s skill settings and ask the agent to use it.
.cursor/skills/systems-programming-rust-project/SKILL.mdOfficial Cursor setup →Coding agent · Project skills
Extract the complete folder into .claude/skills. Ask Claude to use the named skill, or use its slash command when available.
.claude/skills/systems-programming-rust-project/SKILL.mdOfficial Claude Code setup →For text-only workflows, you can also paste the instructions into an AI conversation. Copying text does not enable scripts, connect accounts or grant tool access. App subscriptions may cost extra. Logos identify the products; KuchhBhi is independent and is not endorsed by these companies.
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.
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.
$ARGUMENTS
Determine the project type from user requirements:
# 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 only
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: {}", msg),
AppError::IoError(e) => write!(f, "IO error: {}", e),
}
}
}
impl std::error::Error for AppError {}
pub type Result<T> = std::result::Result<T, AppError>;
library-name/
├── Cargo.toml
├── README.md
├── src/
│ ├── lib.rs
│ ├── core.rs
│ ├── utils.rs
│ └── error.rs
├── tests/
│ └── integration_test.rs
└── examples/
└── basic.rs
Cargo.toml for Library:
[package]
name = "library-name"
version = "0.1.0"
edition = "2021"
rust-version = "1.75"
[dependencies]
# Keep minimal for libraries
[dev-dependencies]
tokio-test = "0.4"
[lib]
name = "library_name"
path = "src/lib.rs"
src/lib.rs:
//! Library documentation
//!
//! # Examples
//!
//! ```
//! use library_name::core::CoreType;
//!
//! let instance = CoreType::new();
//! ```
pub mod core;
pub mod error;
pub mod utils;
pub use core::CoreType;
pub use error::{Error, Result};
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn it_works() {
assert_eq!(2 + 2, 4);
}
}
workspace/
├── Cargo.toml
├── .gitignore
├── crates/
│ ├── api/
│ │ ├── Cargo.toml
│ │ └── src/
│ │ └── lib.rs
│ ├── core/
│ │ ├── Cargo.toml
│ │ └── src/
│ │ └── lib.rs
│ └── cli/
│ ├── Cargo.toml
│ └── src/
│ └── main.rs
└── tests/
└── integration_test.rs
Cargo.toml (workspace root):
[workspace]
members = [
"crates/api",
"crates/core",
"crates/cli",
]
resolver = "2"
[workspace.package]
version = "0.1.0"
edition = "2021"
rust-version = "1.75"
authors = ["Your Name <email@example.com>"]
license = "MIT OR Apache-2.0"
[workspace.dependencies]
tokio = { version = "1.36", features = ["full"] }
serde = { version = "1.0", features = ["derive"] }
[profile.release]
opt-level = 3
lto = true
web-api/
├── Cargo.toml
├── src/
│ ├── main.rs
│ ├── routes/
│ │ ├── mod.rs
│ │ ├── users.rs
│ │ └── health.rs
│ ├── handlers/
│ │ ├── mod.rs
│ │ └── user_handler.rs
│ ├── models/
│ │ ├── mod.rs
│ │ └── user.rs
│ ├── services/
│ │ ├── mod.rs
│ │ └── user_service.rs
│ ├── middleware/
│ │ ├── mod.rs
│ │ └── auth.rs
│ └── error.rs
└── tests/
└── api_tests.rs
Cargo.toml for Web API:
[package]
name = "web-api"
version = "0.1.0"
edition = "2021"
[dependencies]
axum = "0.7"
tokio = { version = "1.36", features = ["full"] }
tower = "0.4"
tower-http = { version = "0.5", features = ["trace", "cors"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
sqlx = { version = "0.7", features = ["runtime-tokio-native-tls", "postgres"] }
tracing = "0.1"
tracing-subscriber = "0.3"
src/main.rs (Axum):
use axum::{Router, routing::get};
use tower_http::cors::CorsLayer;
use std::net::SocketAddr;
mod routes;
mod handlers;
mod models;
mod services;
mod error;
#[tokio::main]
async fn main() {
tracing_subscriber::fmt::init();
let app = Router::new()
.route("/health", get(routes::health::health_check))
.nest("/api/users", routes::users::router())
.layer(CorsLayer::permissive());
let addr = SocketAddr::from(([0, 0, 0, 0], 3000));
tracing::info!("Listening on {}", addr);
let listener = tokio::net::TcpListener::bind(addr).await.unwrap();
axum::serve(listener, app).await.unwrap();
}
Makefile:
.PHONY: build test lint fmt run clean bench
build:
cargo build
test:
cargo test
lint:
cargo clippy -- -D warnings
fmt:
cargo fmt --check
run:
cargo run
clean:
cargo clean
bench:
cargo bench
rustfmt.toml:
edition = "2021"
max_width = 100
tab_spaces = 4
use_small_heuristics = "Max"
clippy.toml:
cognitive-complexity-threshold = 30
Focus on creating idiomatic Rust projects with strong type safety, proper error handling, and comprehensive testing setup.
The instruction package is free to download. Your AI app, model usage, connected services and third-party assets may have separate costs.
It is a set of instructions for a compatible AI assistant. It does not run by itself, connect accounts or install an MCP server.
Check that the named folder contains SKILL.md directly, not a second nested ZIP folder. Confirm that your editor supports skills and that its current settings allow this location. See the official documentation below.