Domain Web

OrganizationPopular

actionbook

domain-web

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

Overview

Publisher	actionbook
Repository	`rust-skills`
Skill name	`domain-web`
Stars	1.5K
Forks	114
Bundled files	Instructions only
Links	Skill source Repository

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 actionbook on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/actionbook/rust-skills/tree/main/skills/domain-web
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.

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/actionbook/rust-skills.git /tmp/rust-skills
mkdir -p .claude/skills
cp -r /tmp/rust-skills/skills/domain-web .claude/skills/domain-web

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Domain Web 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 Domain Web 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 Domain Web 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.

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

rust
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<RwLock>
Request lifecycle	Extractors	Ownership via From
Middleware	Tower layers	Trait-based composition

Related Skills

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

Frequently asked questions

What does the Domain Web AI skill do?

Why use Domain Web on TypingMind?

Because you install it once and use it with any model. Domain Web 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 Domain Web in TypingMind?

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

Which AI models can use Domain Web?

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 Domain Web?

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

Is the Domain Web AI skill free?

It is published on GitHub by actionbook. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Web Domain

Domain Constraints → Design Implications

Critical Constraints

Async by Default

State Management

Request Lifecycle

Trace Down ↓

Framework Comparison

Key Crates

Design Patterns

Code Pattern: Axum Handler

Common Mistakes

Trace to Layer 1

Related Skills

Frequently asked questions

Related AI Skills

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