domain-cli

actionbook/rust-skills · updated Apr 8, 2026

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

Layer 3: Domain Constraints

skill.md

CLI Domain

Layer 3: Domain Constraints

Domain Constraints → Design Implications

Domain Rule Design Constraint Rust Implication
User ergonomics Clear help, errors clap derive macros
Config precedence CLI > env > file Layered config loading
Exit codes Non-zero on error Proper Result handling
Stdout/stderr Data vs errors eprintln! for errors
Interruptible Handle Ctrl+C Signal handling

Critical Constraints

User Communication

RULE: Errors to stderr, data to stdout
WHY: Pipeable output, scriptability
RUST: eprintln! for errors, println! for data

Configuration Priority

RULE: CLI args > env vars > config file > defaults
WHY: User expectation, override capability
RUST: Layered config with clap + figment/config

Exit Codes

RULE: Return non-zero on any error
WHY: Script integration, automation
RUST: main() -> Result<(), Error> or explicit exit()

Trace Down ↓

From constraints to design (Layer 2):

"Need argument parsing"
    ↓ m05-type-driven: Derive structs for args
    ↓ clap: #[derive(Parser)]

"Need config layering"
    ↓ m09-domain: Config as domain object
    ↓ figment/config: Layer sources

"Need progress display"
    ↓ m12-lifecycle: Progress bar as RAII
    ↓ indicatif: ProgressBar

Key Crates

Purpose Crate
Argument parsing clap
Interactive prompts dialoguer
Progress bars indicatif
Colored output colored
Terminal UI ratatui
Terminal control crossterm
Console utilities console

Design Patterns

Pattern Purpose Implementation
Args struct Type-safe args #[derive(Parser)]
Subcommands Command hierarchy #[derive(Subcommand)]
Config layers Override precedence CLI > env > file
Progress User feedback ProgressBar::new(len)

Code Pattern: CLI Structure

use clap::{Parser, Subcommand};

#[derive(Parser)]
#[command(name = "myapp", about = "My CLI tool")]
struct Cli {
    /// Enable verbose output
    #[arg(short, long)]
    verbose: bool,

    #[command(subcommand)]
    command: Commands,
}

#[derive(Subcommand)]
enum Commands {
    /// Initialize a new project
    Init { name: String },
    /// Run the application
    Run {
        #[arg(short, long)]
        port: Option<u16>,
    },
}

fn main() -> anyhow::Result<()> {
    let cli = Cli::parse();
    match cli.command {
        Commands::Init { name } => init_project(&name)?,
        Commands::Run { port } => run_server(port.unwrap_or(8080))?,
    }
    Ok(())
}

Common Mistakes

Mistake Domain Violation Fix
Errors to stdout Breaks piping eprintln!
No help text Poor UX #[arg(help = "...")]
Panic on error Bad exit code Result + proper handling
No progress for long ops User uncertainty indicatif

Trace to Layer 1

Constraint Layer 2 Pattern Layer 1 Implementation
Type-safe args Derive macros clap Parser
Error handling Result propagation anyhow + exit codes
User feedback Progress RAII indicatif ProgressBar
Config precedence Builder pattern Layered sources

Related Skills

When See
Error handling m06-error-handling
Type-driven args m05-type-driven
Progress lifecycle m12-lifecycle
Async CLI m07-concurrency
how to use domain-cli

How to use domain-cli 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 development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add domain-cli
2

Execute installation 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-cli

The skills CLI fetches domain-cli from GitHub repository actionbook/rust-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/domain-cli

Reload or restart Cursor to activate domain-cli. Access the skill through slash commands (e.g., /domain-cli) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

Installation Steps

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

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.644 reviews
  • Isabella Iyer· Dec 16, 2024

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

  • Henry Khanna· Dec 16, 2024

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

  • Dhruvi Jain· Dec 4, 2024

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

  • Oshnikdeep· Nov 23, 2024

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

  • William Diallo· Nov 23, 2024

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

  • Zaid Smith· Nov 7, 2024

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

  • Xiao Abbas· Nov 7, 2024

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

  • Rahul Santra· Nov 3, 2024

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

  • Isabella Srinivasan· Oct 26, 2024

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

  • Min Dixit· Oct 26, 2024

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

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