actionbook

domain-web

596
55
# Install this skill:
npx skills add actionbook/rust-skills --skill "domain-web"

Install specific skill from multi-skill repository

# Description

Use when building web services. Keywords: web server, HTTP, REST API, GraphQL, WebSocket, axum, actix, warp, rocket, tower, hyper, reqwest, middleware, router, handler, extractor, state management, authentication, authorization, JWT, session, cookie, CORS, rate limiting, web 开发, HTTP 服务, API 设计, 中间件, 路由

# SKILL.md


name: domain-web
description: "Use when building web services. Keywords: web server, HTTP, REST API, GraphQL, WebSocket, axum, actix, warp, rocket, tower, hyper, reqwest, middleware, router, handler, extractor, state management, authentication, authorization, JWT, session, cookie, CORS, rate limiting, web 开发, HTTP 服务, API 设计, 中间件, 路由"
globs: ["**/Cargo.toml"]
user-invocable: false


Web Domain

Layer 3: Domain Constraints

Domain Constraints → Design Implications

Domain Rule Design Constraint Rust Implication
Stateless HTTP No request-local globals State in extractors
Concurrency Handle many connections Async, Send + Sync
Latency SLA Fast response Efficient ownership
Security Input validation Type-safe extractors
Observability Request tracing tracing + tower layers

Critical Constraints

Async by Default

RULE: Web handlers must not block
WHY: Block one task = block many requests
RUST: async/await, spawn_blocking for CPU work

State Management

RULE: Shared state must be thread-safe
WHY: Handlers run on any thread
RUST: Arc<T>, Arc<RwLock<T>> for mutable

Request Lifecycle

RULE: Resources live only for request duration
WHY: Memory management, no leaks
RUST: Extractors, proper ownership

Trace Down ↓

From constraints to design (Layer 2):

"Need shared application state"
    ↓ m07-concurrency: Use Arc for thread-safe sharing
    ↓ m02-resource: Arc<RwLock<T>> for mutable state

"Need request validation"
    ↓ m05-type-driven: Validated extractors
    ↓ m06-error-handling: IntoResponse for errors

"Need middleware stack"
    ↓ m12-lifecycle: Tower layers
    ↓ m04-zero-cost: Trait-based composition

Framework Comparison

Framework Style Best For
axum Functional, tower Modern APIs
actix-web Actor-based High performance
warp Filter composition Composable APIs
rocket Macro-driven Rapid development

Key Crates

Purpose Crate
HTTP server axum, actix-web
HTTP client reqwest
JSON serde_json
Auth/JWT jsonwebtoken
Session tower-sessions
Database sqlx, diesel
Middleware tower

Design Patterns

Pattern Purpose Implementation
Extractors Request parsing State(db), Json(payload)
Error response Unified errors impl IntoResponse
Middleware Cross-cutting Tower layers
Shared state App config Arc<AppState>

Code Pattern: Axum Handler

async fn handler(
    State(db): State<Arc<DbPool>>,
    Json(payload): Json<CreateUser>,
) -> Result<Json<User>, AppError> {
    let user = db.create_user(&payload).await?;
    Ok(Json(user))
}

// Error handling
impl IntoResponse for AppError {
    fn into_response(self) -> Response {
        let (status, message) = match self {
            Self::NotFound => (StatusCode::NOT_FOUND, "Not found"),
            Self::Internal(_) => (StatusCode::INTERNAL_SERVER_ERROR, "Internal error"),
        };
        (status, Json(json!({"error": message}))).into_response()
    }
}

Common Mistakes

Mistake Domain Violation Fix
Blocking in handler Latency spike spawn_blocking
Rc in state Not Send + Sync Use Arc
No validation Security risk Type-safe extractors
No error response Bad UX IntoResponse impl

Trace to Layer 1

Constraint Layer 2 Pattern Layer 1 Implementation
Async handlers Async/await tokio runtime
Thread-safe state Shared state Arc, Arc>
Request lifecycle Extractors Ownership via From
Middleware Tower layers Trait-based composition

When See
Async patterns m07-concurrency
State management m02-resource
Error handling m06-error-handling
Middleware design m12-lifecycle

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.