MCPInstall

rust-project

Modern Rust project architecture guide for 2025. Use when creating Rust projects (CLI, web services, libraries). Covers workspace structure, error handling, async patterns, and idiomatic Rust best practices.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/majiayu000/spellbook --skill rust-project
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads rust-project automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Rust Project Architecture

Core Principles

  • Ownership-first — Embrace borrow checker, no unnecessary clones
  • Zero-cost abstractions — Newtype, iterators, async/await
  • Workspace for scale — Use Cargo workspace for multi-crate projects
  • Error precision — thiserror for libs, anyhow for apps
  • Async with Tokio — Tokio runtime + tracing for observability
  • No backwards compatibility — Delete, don't deprecate. Change directly
  • LiteLLM for LLM APIs — Use LiteLLM proxy for all LLM integrations

No Backwards Compatibility

Delete unused code. Change directly. No compatibility layers.

// ❌ BAD: Deprecated attribute kept around
#[deprecated(since = "0.2.0", note = "Use new_function instead")]
pub fn old_function() { ... }

// ❌ BAD: Type alias for renamed types
pub type OldName = NewName; // "for backwards compatibility"

// ❌ BAD: Unused parameters
fn process(_legacy: &str, data: &Data) { ... }

// ❌ BAD: Feature flags for old behavior
#[cfg(feature = "legacy")]
fn old_impl() { ... }

// ✅ GOOD: Just delete and update all usages
pub fn new_function() { ... }
// Then: Find & replace all old_function → new_function

// ✅ GOOD: Remove unused parameters entirely
fn process(data: &Data) { ... }

LiteLLM for LLM APIs

Use LiteLLM proxy. Don't call provider APIs directly.

// src/llm.rs
use async_openai::{Client, config::OpenAIConfig};

pub fn create_client(base_url: &str, api_key: &str) -> Client<OpenAIConfig> {
    let config = OpenAIConfig::new()
        .with_api_base(base_url)  // LiteLLM proxy URL
        .with_api_key(api_key);
    Client::with_config(config)
}

// Usage: connect to LiteLLM, use any model
let client = create_client("http://localhost:4000", &api_key);
let request = CreateChatCompletionRequestArgs::default()
    .model("gpt-4o")  // or "claude-3-opus", "gemini-pro", etc.
    .messages(vec![...])
    .build()?;

Quick Start

1. Initialize Project

# Simple project
cargo new myapp
cd myapp

# Workspace project
mkdir myapp && cd myapp
cargo init --name app

2. Apply Tech Stack

LayerRecommendation
Async RuntimeTokio
Web FrameworkAxum
SerializationSerde
ORM / DatabaseSeaORM (async, Active Record)
CLIClap (derive)
Error (lib)thiserror
Error (app)anyhow
Loggingtracing + tracing-subscriber
HTTP Clientreqwest
Configconfig-rs

Web Framework Selection

FrameworkChoose When
Axum (default)Modern microservices, Tokio ecosystem, container deployment, Tower middleware
Actix WebMaximum throughput, WebSocket-heavy, mature ecosystem needed
RocketRapid prototyping, small teams, minimal boilerplate

Axum provides the best balance of performance, ergonomics, and Tokio integration for most projects.

Database / ORM Selection

LibraryChoose When
SeaORM (default)CRUD-heavy services, rapid development, async-first, cross-database testing
SQLxRaw SQL control, maximum performance, compile-time SQL validation
DieselCompile-time type safety, stable schema, synchronous workloads

SeaORM is recommended for its Active Record ergonomics, native async support, and seamless Axum integration.

Version Strategy

Always use latest. Never pin in templates.

[dependencies]
tokio = { version = "*", features = ["full"] }
axum = "*"
serde = { version = "*", features = ["derive"] }

# cargo update fetches latest compatible versions
# Cargo.lock ensures reproducible builds

3. Choose Project Structure

Simple Project (Single Crate)

myapp/
├── Cargo.toml
├── src/
│   ├── main.rs           # Entry point
│   ├── lib.rs            # Library root (optional)
│   ├── config.rs         # Configuration
│   ├── error.rs          # Error types
│   ├── handlers/         # HTTP handlers (web)
│   │   └── mod.rs
│   ├── services/         # Business logic
│   │   └── mod.rs
│   └── models/           # Domain types
│       └── mod.rs
├── tests/                # Integration tests
│   └── api_test.rs
└── benches/              # Benchmarks
    └── bench.rs

Workspace Project (Multi-Crate)

myapp/
├── Cargo.toml            # Workspace manifest
├── crates/
│   ├── app/              # Binary crate
│   │   ├── Cargo.toml
│   │   └── src/main.rs
│   ├── core/             # Business logic lib
│   │   ├── Cargo.toml
│   │   └── src/lib.rs
│   └── infra/            # Infrastructure lib
│       ├── Cargo.toml
│       └── src/lib.rs
├── config/
│   └── default.toml
└── Makefile

Architecture Layers

main.rs — Entry Point

Wire dependencies, start runtime. No business logic.

// src/main.rs
use anyhow::Result;
use sea_orm::Database;
use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt};

#[tokio::main]
async fn main() -> Result<()> {
    // Initialize tracing
    tracing_subscriber::registry()
        .with(tracing_subscriber::fmt::layer())
        .init();

    // Load config
    let config = myapp::config::load()?;

    // Connect to database (SeaORM)
    let db = Database::connect(&config.database_url).await?;

    // Build application state
    let state = myapp::AppState::new(db);

    // Build router
    let app = myapp::router::build(state);

    // Run server
    let listener = tokio::net::TcpListener::bind(&config.listen_addr).await?;
    tracing::info!("listening on {}", config.listen_addr);
    axum::serve(listener, app).await?;

    Ok(())
}

lib.rs — Library Root

Re-export public API, define AppState.

// src/lib.rs
pub mod config;
pub mod db;
pub mod error;
pub mod handlers;
pub mod models;  // SeaORM entities
pub mod router;
pub mod services;

use sea_orm::DatabaseConnection;
use std::sync::Arc;

pub struct AppState {
    pub db: DatabaseConnection,
}

impl AppState {
    pub fn new(db: DatabaseConnection) -> Arc<Self> {
        Arc::new(Self { db })
    }
}

error.rs — Error Handling

// src/error.rs
use axum::{http::StatusCode, response::{IntoResponse, Response}, Json};
use sea_orm::DbErr;
use serde_json::json;

#[derive(Debug, thiserror::Error)]
pub enum AppError {
    #[error("not found: {0}")]
    NotFound(String),

    #[error("validation error: {0}")]
    Validation(String),

    #[error("unauthorized")]
    Unauthorized,

    #[error("internal error")]
    Internal(#[from] anyhow::Error),

    #[error("database error: {0}")]
    Database(#[from] DbErr),
}

impl IntoResponse for AppError {
    fn into_response(self) -> Response {
        let (status, message) = match &self {
            AppError::NotFound(msg) => (StatusCode::NOT_FOUND, msg.clone()),
            AppError::Validation(msg) => (StatusCode::BAD_REQUEST, msg.clone()),
            AppError::Unauthorized => (StatusCode::UNAUTHORIZED, "unauthorized".into()),
            AppError::Internal(_) | AppError::Database(_) => {
                tracing::error!("Internal error: {:?}", self);
                (StatusCode::INTERNAL_SERVER_ERROR, "internal error".into())
            }
        };

        (status, Json(json!({ "error": message }))).into_response()
    }
}

pub type Result<T> = std::result::Result<T, AppError>;

handlers/ — HTTP Layer

// src/handlers/user.rs
use axum::{extract::{Path, State}, Json};
use std::sync::Arc;
use crate::{error::Result, models::user, services, AppState};

pub async fn get_user(
    State(state): State<Arc<AppState>>,
    Path(id): Path<i64>,
) -> Result<Json<user::Model>> {
    let user = services::user::find_by_id(&state.db, id).await?;
    Ok(Json(user))
}

pub async fn create_user(
    State(state): State<Arc<AppState>>,
    Json(input): Json<CreateUserInput>,
) -> Result<Json<user::Model>> {
    let user = services::user::create(&state.db, input).await?;
    Ok(Json(user))
}

services/ — Business Logic

// src/services/user.rs
use sea_orm::{ActiveModelTrait, DatabaseConnection, EntityTrait, Set};
use crate::{error::{AppError, Result}, models::user};

pub async fn find_by_id(db: &DatabaseConnection, id: i64) -> Result<user::Model> {
    user::Entity::find_by_id(id)
        .one(db)
        .await?
        .ok_or_else(|| AppError::NotFound(format!("user {}", id)))
}

pub async fn create(db: &DatabaseConnection, input: CreateUserInput) -> Result<user::Model> {
    let new_user = user::ActiveModel {
        email: Set(input.email),
        name: Set(input.name),
        ..Default::default()
    };

    let user = new_user.insert(db).await?;
    Ok(user)
}

// Find with relations
pub async fn find_with_posts(db: &DatabaseConnection, id: i64) -> Result<(user::Model, Vec<post::Model>)> {
    user::Entity::find_by_id(id)
        .find_with_related(post::Entity)
        .all(db)
        .await?
        .into_iter()
        .next()
        .ok_or_else(|| AppError::NotFound(format!("user {}", id)))
}

Workspace Configuration

# Cargo.toml (workspace root)
[workspace]
resolver = "3"
members = ["crates/*"]

[workspace.package]
version = "0.1.0"
edition = "2024"
license = "MIT"

[workspace.dependencies]
tokio = { version = "*", features = ["full"] }
axum = "*"
serde = { version = "*", features = ["derive"] }
serde_json = "*"
sea-orm = { version = "*", features = ["sqlx-postgres", "runtime-tokio-native-tls"] }
thiserror = "*"
anyhow = "*"
tracing = "*"
tracing-subscriber = "*"
# crates/app/Cargo.toml
[package]
name = "app"
version.workspace = true
edition.workspace = true

[dependencies]
core.path = "../core"
infra.path = "../infra"
tokio.workspace = true
axum.workspace = true
anyhow.workspace = true
tracing.workspace = true
tracing-subscriber.workspace = true

CLI Application

// src/main.rs
use clap::Parser;
use anyhow::Result;

#[derive(Parser)]
#[command(name = "myapp", version, about)]
struct Cli {
    /// Input file path
    #[arg(short, long)]
    input: PathBuf,

    /// Output format
    #[arg(short, long, default_value = "json")]
    format: OutputFormat,

    /// Verbose output
    #[arg(short, long)]
    verbose: bool,
}

#[derive(Clone, clap::ValueEnum)]
enum OutputFormat {
    Json,
    Yaml,
    Text,
}

fn main() -> Result<()> {
    let cli = Cli::parse();

    if cli.verbose {
        tracing_subscriber::fmt::init();
    }

    // Process input...
    Ok(())
}

Testing

// tests/api_test.rs
use axum::{body::Body, http::{Request, StatusCode}};
use tower::ServiceExt;

#[tokio::test]
async fn test_get_user() {
    let app = create_test_app().await;

    let response = app
        .oneshot(
            Request::builder()
                .uri("/users/1")
                .body(Body::empty())
                .unwrap(),
        )
        .await
        .unwrap();

    assert_eq!(response.status(), StatusCode::OK);
}

// Unit test with mock
#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_validate_email() {
        assert!(validate_email("test@example.com").is_ok());
        assert!(validate_email("invalid").is_err());
    }
}

Extended Reference

Detailed material starting at ## Makefile has been moved to reference/extended.md to keep this skill concise. Load that reference when the task requires the moved examples, command catalogs, checklists, platform details, or implementation templates.

FAQ

What does the rust-project skill do?

Modern Rust project architecture guide for 2025. Use when creating Rust projects (CLI, web services, libraries). Covers workspace structure, error handling, async patterns, and idiomatic Rust best practices.

How do I install rust-project?

Run npx skills add https://github.com/majiayu000/spellbook --skill rust-project in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/rust-project/ (personal) or .claude/skills/rust-project/ (project).

Which AI agents can use rust-project?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is rust-project safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains rust-project?

It is published by majiayu000 in majiayu000/spellbook. It has 84 recorded installs.

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