domain-web

Layer 3: Domain Constraints

actionbook/rust-skillsUpdated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills add https://github.com/actionbook/rust-skills --skill domain-web

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Installation Guide

How to use domain-web on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add domain-web
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/actionbook/rust-skills --skill domain-web

Fetches domain-web from actionbook/rust-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/domain-web

Restart Cursor to activate domain-web. Access via /domain-web in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

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<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

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.631 reviews
  • A
    Aarav FarahDec 28, 2024

    We added domain-web from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • N
    Nia KapoorDec 28, 2024

    Keeps context tight: domain-web is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • D
    Dhruvi JainDec 20, 2024

    Keeps context tight: domain-web is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Arjun JacksonNov 27, 2024

    I recommend domain-web for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • A
    Arjun WhiteNov 19, 2024

    domain-web reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • C
    Camila WangNov 19, 2024

    domain-web has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • O
    OshnikdeepNov 11, 2024

    domain-web has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • K
    Kofi TaylorOct 18, 2024

    Useful defaults in domain-web — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • A
    Arjun BansalOct 10, 2024

    Registry listing for domain-web matched our evaluation — installs cleanly and behaves as described in the markdown.

  • L
    Luis WangOct 10, 2024

    Solid pick for teams standardizing on skills: domain-web is focused, and the summary matches what you get after install.

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