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Rust

Organization
MadAppGang
rust

Use when building Axum applications, implementing type-safe handlers, working with SQLx, setting up error handling with thiserror, or writing Rust backend services.

Overview

PublisherMadAppGang
Repositoryclaude-code
Skill namerust
Stars
281
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MadAppGang on GitHub. Read the source before you install it.

Installation

Install the Rust AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MadAppGang/claude-code.git /tmp/claude-code
mkdir -p .claude/skills
cp -r /tmp/claude-code/plugins/dev/skills/backend/rust .claude/skills/rust
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rust in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rust on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rust is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rust Backend Patterns

Overview

Rust patterns for building backend services with Axum.

Project Structure

project/
├── src/
│   ├── main.rs               # Entry point
│   ├── lib.rs                # Library root
│   ├── config.rs             # Configuration
│   ├── error.rs              # Error types
│   ├── routes/               # Route handlers
│   │   ├── mod.rs
│   │   └── users.rs
│   ├── services/             # Business logic
│   ├── repositories/         # Data access
│   ├── models/               # Domain models
│   └── middleware/           # HTTP middleware
├── migrations/               # SQLx migrations
├── tests/                    # Integration tests
├── Cargo.toml
└── .env

Axum Application

Main Application

rust
// src/main.rs
use axum::{
    routing::{get, post},
    Router,
};
use sqlx::postgres::PgPoolOptions;
use std::sync::Arc;
use tower_http::cors::CorsLayer;

mod config;
mod error;
mod routes;
mod services;
mod repositories;

use config::Config;

#[derive(Clone)]
pub struct AppState {
    pub db: sqlx::PgPool,
    pub config: Arc<Config>,
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    dotenvy::dotenv().ok();
    tracing_subscriber::init();

    let config = Config::from_env()?;

    let pool = PgPoolOptions::new()
        .max_connections(config.database.max_connections)
        .connect(&config.database.url)
        .await?;

    sqlx::migrate!().run(&pool).await?;

    let state = AppState {
        db: pool,
        config: Arc::new(config),
    };

    let app = Router::new()
        .route("/health", get(|| async { "ok" }))
        .nest("/api/users", routes::users::router())
        .with_state(state)
        .layer(CorsLayer::permissive());

    let listener = tokio::net::TcpListener::bind("0.0.0.0:3000").await?;
    tracing::info!("listening on {}", listener.local_addr()?);
    axum::serve(listener, app).await?;

    Ok(())
}

Configuration

rust
// src/config.rs
use serde::Deserialize;

#[derive(Debug, Deserialize)]
pub struct Config {
    pub database: DatabaseConfig,
    pub jwt: JwtConfig,
}

#[derive(Debug, Deserialize)]
pub struct DatabaseConfig {
    pub url: String,
    #[serde(default = "default_max_connections")]
    pub max_connections: u32,
}

#[derive(Debug, Deserialize)]
pub struct JwtConfig {
    pub secret: String,
    #[serde(default = "default_expiry")]
    pub expiry_hours: u64,
}

fn default_max_connections() -> u32 { 10 }
fn default_expiry() -> u64 { 24 }

impl Config {
    pub fn from_env() -> Result<Self, config::ConfigError> {
        config::Config::builder()
            .add_source(config::Environment::default().separator("__"))
            .build()?
            .try_deserialize()
    }
}

Error Handling

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

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

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

    #[error("Unauthorized")]
    Unauthorized,

    #[error("Forbidden")]
    Forbidden,

    #[error("Database error")]
    Database(#[from] sqlx::Error),

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

impl IntoResponse for AppError {
    fn into_response(self) -> Response {
        let (status, code, message) = match &self {
            AppError::NotFound(msg) => (StatusCode::NOT_FOUND, "NOT_FOUND", msg.clone()),
            AppError::Validation(msg) => (StatusCode::BAD_REQUEST, "VALIDATION_ERROR", msg.clone()),
            AppError::Unauthorized => (StatusCode::UNAUTHORIZED, "UNAUTHORIZED", "Unauthorized".into()),
            AppError::Forbidden => (StatusCode::FORBIDDEN, "FORBIDDEN", "Forbidden".into()),
            AppError::Database(e) => {
                tracing::error!("Database error: {:?}", e);
                (StatusCode::INTERNAL_SERVER_ERROR, "DATABASE_ERROR", "Database error".into())
            }
            AppError::Internal(e) => {
                tracing::error!("Internal error: {:?}", e);
                (StatusCode::INTERNAL_SERVER_ERROR, "INTERNAL_ERROR", "Internal error".into())
            }
        };

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

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

Models and DTOs

rust
// src/models/user.rs
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use sqlx::FromRow;
use uuid::Uuid;
use validator::Validate;

#[derive(Debug, FromRow, Serialize)]
pub struct User {
    pub id: Uuid,
    pub name: String,
    pub email: String,
    #[serde(skip_serializing)]
    pub password_hash: String,
    pub created_at: DateTime<Utc>,
    pub updated_at: Option<DateTime<Utc>>,
}

#[derive(Debug, Deserialize, Validate)]
pub struct CreateUser {
    #[validate(length(min = 2, max = 100))]
    pub name: String,
    #[validate(email)]
    pub email: String,
    #[validate(length(min = 8))]
    pub password: String,
}

#[derive(Debug, Deserialize, Validate)]
pub struct UpdateUser {
    #[validate(length(min = 2, max = 100))]
    pub name: Option<String>,
    #[validate(email)]
    pub email: Option<String>,
}

#[derive(Debug, Serialize)]
pub struct UserResponse {
    pub id: Uuid,
    pub name: String,
    pub email: String,
    pub created_at: DateTime<Utc>,
}

impl From<User> for UserResponse {
    fn from(user: User) -> Self {
        Self {
            id: user.id,
            name: user.name,
            email: user.email,
            created_at: user.created_at,
        }
    }
}

Repository Pattern

rust
// src/repositories/user.rs
use sqlx::PgPool;
use uuid::Uuid;
use crate::error::{AppError, Result};
use crate::models::user::{User, CreateUser, UpdateUser};

pub struct UserRepository<'a> {
    pool: &'a PgPool,
}

impl<'a> UserRepository<'a> {
    pub fn new(pool: &'a PgPool) -> Self {
        Self { pool }
    }

    pub async fn find_by_id(&self, id: Uuid) -> Result<Option<User>> {
        sqlx::query_as!(User, "SELECT * FROM users WHERE id = $1", id)
            .fetch_optional(self.pool)
            .await
            .map_err(AppError::Database)
    }

    pub async fn find_by_email(&self, email: &str) -> Result<Option<User>> {
        sqlx::query_as!(User, "SELECT * FROM users WHERE email = $1", email)
            .fetch_optional(self.pool)
            .await
            .map_err(AppError::Database)
    }

    pub async fn find_all(&self, limit: i64, offset: i64) -> Result<Vec<User>> {
        sqlx::query_as!(
            User,
            "SELECT * FROM users ORDER BY created_at DESC LIMIT $1 OFFSET $2",
            limit,
            offset
        )
        .fetch_all(self.pool)
        .await
        .map_err(AppError::Database)
    }

    pub async fn create(&self, input: &CreateUser, password_hash: &str) -> Result<User> {
        sqlx::query_as!(
            User,
            r#"
            INSERT INTO users (name, email, password_hash)
            VALUES ($1, $2, $3)
            RETURNING *
            "#,
            input.name,
            input.email,
            password_hash
        )
        .fetch_one(self.pool)
        .await
        .map_err(AppError::Database)
    }

    pub async fn update(&self, id: Uuid, input: &UpdateUser) -> Result<Option<User>> {
        sqlx::query_as!(
            User,
            r#"
            UPDATE users
            SET name = COALESCE($2, name),
                email = COALESCE($3, email),
                updated_at = NOW()
            WHERE id = $1
            RETURNING *
            "#,
            id,
            input.name,
            input.email
        )
        .fetch_optional(self.pool)
        .await
        .map_err(AppError::Database)
    }

    pub async fn delete(&self, id: Uuid) -> Result<bool> {
        let result = sqlx::query!("DELETE FROM users WHERE id = $1", id)
            .execute(self.pool)
            .await
            .map_err(AppError::Database)?;

        Ok(result.rows_affected() > 0)
    }
}

Route Handlers

rust
// src/routes/users.rs
use axum::{
    extract::{Path, Query, State},
    routing::{get, post, delete},
    Json, Router,
};
use uuid::Uuid;
use validator::Validate;

use crate::{
    error::{AppError, Result},
    models::user::{CreateUser, UpdateUser, UserResponse},
    repositories::user::UserRepository,
    services::user::UserService,
    AppState,
};

#[derive(Debug, serde::Deserialize)]
pub struct ListQuery {
    #[serde(default = "default_page")]
    page: i64,
    #[serde(default = "default_limit")]
    limit: i64,
}

fn default_page() -> i64 { 1 }
fn default_limit() -> i64 { 20 }

pub fn router() -> Router<AppState> {
    Router::new()
        .route("/", get(list_users).post(create_user))
        .route("/:id", get(get_user).patch(update_user).delete(delete_user))
}

async fn list_users(
    State(state): State<AppState>,
    Query(query): Query<ListQuery>,
) -> Result<Json<Vec<UserResponse>>> {
    let repo = UserRepository::new(&state.db);
    let offset = (query.page - 1) * query.limit;
    let users = repo.find_all(query.limit, offset).await?;
    Ok(Json(users.into_iter().map(Into::into).collect()))
}

async fn get_user(
    State(state): State<AppState>,
    Path(id): Path<Uuid>,
) -> Result<Json<UserResponse>> {
    let repo = UserRepository::new(&state.db);
    let user = repo
        .find_by_id(id)
        .await?
        .ok_or_else(|| AppError::NotFound("User".into()))?;
    Ok(Json(user.into()))
}

async fn create_user(
    State(state): State<AppState>,
    Json(input): Json<CreateUser>,
) -> Result<Json<UserResponse>> {
    input.validate().map_err(|e| AppError::Validation(e.to_string()))?;

    let service = UserService::new(&state.db);
    let user = service.create(input).await?;
    Ok(Json(user.into()))
}

async fn update_user(
    State(state): State<AppState>,
    Path(id): Path<Uuid>,
    Json(input): Json<UpdateUser>,
) -> Result<Json<UserResponse>> {
    input.validate().map_err(|e| AppError::Validation(e.to_string()))?;

    let repo = UserRepository::new(&state.db);
    let user = repo
        .update(id, &input)
        .await?
        .ok_or_else(|| AppError::NotFound("User".into()))?;
    Ok(Json(user.into()))
}

async fn delete_user(
    State(state): State<AppState>,
    Path(id): Path<Uuid>,
) -> Result<()> {
    let repo = UserRepository::new(&state.db);
    if !repo.delete(id).await? {
        return Err(AppError::NotFound("User".into()));
    }
    Ok(())
}

Testing

rust
// tests/users.rs
use axum::{
    body::Body,
    http::{Request, StatusCode},
};
use tower::ServiceExt;
use serde_json::json;

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

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

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

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

    let response = app
        .oneshot(
            Request::builder()
                .method("POST")
                .uri("/api/users")
                .header("content-type", "application/json")
                .body(Body::from(
                    serde_json::to_string(&json!({
                        "name": "John Doe",
                        "email": "john@example.com",
                        "password": "password123"
                    }))
                    .unwrap(),
                ))
                .unwrap(),
        )
        .await
        .unwrap();

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

Rust Axum patterns for backend development

Frequently asked questions

What does the Rust AI skill do?

Use when building Axum applications, implementing type-safe handlers, working with SQLx, setting up error handling with thiserror, or writing Rust backend services.

Why use Rust on TypingMind?

Because you install it once and use it with any model. Rust is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rust in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MadAppGang/claude-code/tree/main/plugins/dev/skills/backend/rust. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rust?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rust?

As many as you like. As long as a model supports skills, you can use Rust with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rust AI skill free?

Yes. It is published on GitHub by MadAppGang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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