rust-cli-builder

Plan and build production-ready Rust CLI tools using clap for argument parsing, with subcommands, config file support, colored output, and proper error handling. Uses interview-driven planning to clarify commands, input/output formats, and distribution strategy before writing any code.

24,269 stars

Best use case

rust-cli-builder is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Plan and build production-ready Rust CLI tools using clap for argument parsing, with subcommands, config file support, colored output, and proper error handling. Uses interview-driven planning to clarify commands, input/output formats, and distribution strategy before writing any code.

Teams using rust-cli-builder should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/rust-cli-builder/SKILL.md --create-dirs "https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/development/rust-cli-builder/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/rust-cli-builder/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How rust-cli-builder Compares

Feature / Agentrust-cli-builderStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Plan and build production-ready Rust CLI tools using clap for argument parsing, with subcommands, config file support, colored output, and proper error handling. Uses interview-driven planning to clarify commands, input/output formats, and distribution strategy before writing any code.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Rust CLI Tool Builder

## When to use

Use this skill when you need to:

- Scaffold a new Rust CLI tool from scratch with clap
- Add subcommands to an existing CLI application
- Implement config file loading (TOML/JSON/YAML)
- Set up proper error handling with anyhow/thiserror
- Add colored and formatted terminal output
- Structure a CLI project for distribution via cargo install or GitHub releases

## Phase 1: Explore (Plan Mode)

Enter plan mode. Before writing any code, explore the existing project:

### If extending an existing project
- Find `Cargo.toml` and check current dependencies (clap version, serde, tokio, etc.)
- Locate the CLI entry point (`src/main.rs` or `src/cli.rs`)
- Check if clap is using derive macros or builder pattern
- Identify existing subcommand structure
- Look for existing error types, config structs, and output formatting
- Check if there's a `src/lib.rs` separating library logic from CLI

### If starting from scratch
- Check the workspace for any existing Rust projects or workspace `Cargo.toml`
- Look for a `.cargo/config.toml` with custom settings
- Check for `rust-toolchain.toml` to know the target Rust edition

## Phase 2: Interview (AskUserQuestion)

Use AskUserQuestion to clarify requirements. Ask in rounds.

### Round 1: Tool purpose and commands

```
Question: "What kind of CLI tool are you building?"
Header: "Tool type"
Options:
  - "Single command (like ripgrep, curl)" — One main action with flags and arguments
  - "Multi-command (like git, cargo)" — Multiple subcommands under one binary
  - "Interactive REPL (like psql)" — Persistent session with a prompt loop
  - "Pipeline tool (like jq, sed)" — Reads stdin, transforms, writes stdout

Question: "What will the tool operate on?"
Header: "Input"
Options:
  - "Files/directories" — Read, process, or generate files
  - "Network/API" — HTTP requests, TCP connections, API calls
  - "System resources" — Processes, hardware info, OS config
  - "Data streams (stdin/stdout)" — Pipe-friendly text/binary processing
```

### Round 2: Subcommands (if multi-command)

```
Question: "Describe the subcommands you need (e.g., 'init', 'build', 'deploy')"
Header: "Commands"
Options:
  - "2-3 subcommands (I'll describe them)" — Small focused tool
  - "4-8 subcommands with groups" — Medium tool, may need command groups
  - "I have a rough list, help me design the API" — Collaborative command design
```

### Round 3: Configuration and output

```
Question: "How should the tool be configured?"
Header: "Config"
Options:
  - "CLI flags only (Recommended)" — All config via command-line arguments
  - "Config file (TOML)" — Load defaults from ~/.config/toolname/config.toml
  - "Config file + CLI overrides" — Config file for defaults, flags override specific values
  - "Environment variables + flags" — Env vars for secrets, flags for everything else

Question: "What output format does the tool need?"
Header: "Output"
Options:
  - "Human-readable (colored text)" — Pretty terminal output with colors and formatting
  - "Machine-readable (JSON)" — Structured output for piping to other tools
  - "Both (--format flag)" — Default human, --json or --format=json for machines
  - "Minimal (exit codes only)" — Success/failure via exit code, errors to stderr
```

### Round 4: Async and error handling

```
Question: "Does the tool need async operations?"
Header: "Async"
Options:
  - "No — synchronous is fine (Recommended)" — File I/O, computation, simple operations
  - "Yes — tokio (network I/O)" — HTTP requests, concurrent connections, async file I/O
  - "Yes — tokio multi-threaded" — Heavy parallelism, multiple concurrent tasks

Question: "How should errors be presented to users?"
Header: "Errors"
Options:
  - "Simple messages (anyhow) (Recommended)" — Human-readable error chains, good for most CLIs
  - "Typed errors (thiserror)" — Custom error enum with specific variants for each failure
  - "Both (thiserror for lib, anyhow for bin)" — Library code is typed, CLI wraps with anyhow
```

## Phase 3: Plan (ExitPlanMode)

Write a concrete implementation plan covering:

1. **Project structure** — `Cargo.toml` dependencies, `src/` file layout
2. **CLI definition** — clap derive structs for all commands, args, and flags
3. **Config loading** — config file format and merge strategy with CLI args
4. **Core logic** — main functions for each subcommand, separated from CLI layer
5. **Error types** — error enum or anyhow usage, user-facing error messages
6. **Output formatting** — colored output, JSON mode, progress indicators
7. **Tests** — unit tests for core logic, integration tests for CLI behavior

Present via ExitPlanMode for user approval.

## Phase 4: Execute

After approval, implement following this order:

### Step 1: Project setup (Cargo.toml)

```toml
[package]
name = "toolname"
version = "0.1.0"
edition = "2021"
description = "Short description of the tool"

[dependencies]
clap = { version = "4", features = ["derive", "env"] }
serde = { version = "1", features = ["derive"] }
anyhow = "1"
# Add based on interview:
# thiserror = "2"              # if typed errors
# tokio = { version = "1", features = ["full"] }  # if async
# serde_json = "1"             # if JSON output
# toml = "0.8"                 # if TOML config
# colored = "2"                # if colored output
# indicatif = "0.17"           # if progress bars
# dirs = "5"                   # if config file (~/.config/)
```

### Step 2: CLI definition with clap derive

```rust
use clap::{Parser, Subcommand};

/// Short one-line description of the tool
#[derive(Parser, Debug)]
#[command(name = "toolname", version, about, long_about = None)]
pub struct Cli {
    /// Increase verbosity (-v, -vv, -vvv)
    #[arg(short, long, action = clap::ArgAction::Count, global = true)]
    pub verbose: u8,

    /// Output format
    #[arg(long, default_value = "text", global = true)]
    pub format: OutputFormat,

    /// Path to config file
    #[arg(long, global = true)]
    pub config: Option<std::path::PathBuf>,

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

#[derive(Subcommand, Debug)]
pub enum Commands {
    /// Initialize a new project
    Init {
        /// Project name
        name: String,

        /// Template to use
        #[arg(short, long, default_value = "default")]
        template: String,
    },

    /// Build the project
    Build {
        /// Build in release mode
        #[arg(short, long)]
        release: bool,

        /// Target directory
        #[arg(short, long)]
        output: Option<std::path::PathBuf>,
    },

    /// Show project status
    Status,
}

#[derive(clap::ValueEnum, Clone, Debug)]
pub enum OutputFormat {
    Text,
    Json,
}
```

### Step 3: Error handling

```rust
// With anyhow (simple approach):
use anyhow::{Context, Result};

fn load_config(path: &Path) -> Result<Config> {
    let content = std::fs::read_to_string(path)
        .with_context(|| format!("Failed to read config file: {}", path.display()))?;
    let config: Config = toml::from_str(&content)
        .context("Invalid TOML in config file")?;
    Ok(config)
}

// With thiserror (typed approach):
use thiserror::Error;

#[derive(Error, Debug)]
pub enum AppError {
    #[error("Config file not found: {path}")]
    ConfigNotFound { path: std::path::PathBuf },

    #[error("Invalid config: {0}")]
    InvalidConfig(#[from] toml::de::Error),

    #[error("Network error: {0}")]
    Network(#[from] reqwest::Error),

    #[error("{0}")]
    Custom(String),
}
```

### Step 4: Config file loading

```rust
use serde::Deserialize;
use std::path::{Path, PathBuf};

#[derive(Deserialize, Debug, Default)]
pub struct Config {
    pub default_template: Option<String>,
    pub output_dir: Option<PathBuf>,
    // ... fields from interview
}

impl Config {
    pub fn load(explicit_path: Option<&Path>) -> anyhow::Result<Self> {
        let path = match explicit_path {
            Some(p) => p.to_path_buf(),
            None => Self::default_path(),
        };

        if !path.exists() {
            return Ok(Config::default());
        }

        let content = std::fs::read_to_string(&path)?;
        let config: Config = toml::from_str(&content)?;
        Ok(config)
    }

    fn default_path() -> PathBuf {
        dirs::config_dir()
            .unwrap_or_else(|| PathBuf::from("."))
            .join("toolname")
            .join("config.toml")
    }
}
```

### Step 5: Colored output and formatting

```rust
use colored::Colorize;

pub struct Output {
    format: OutputFormat,
    verbose: u8,
}

impl Output {
    pub fn new(format: OutputFormat, verbose: u8) -> Self {
        Self { format, verbose }
    }

    pub fn success(&self, msg: &str) {
        match self.format {
            OutputFormat::Text => eprintln!("{} {}", "✓".green().bold(), msg),
            OutputFormat::Json => {} // JSON output goes to stdout only
        }
    }

    pub fn error(&self, msg: &str) {
        match self.format {
            OutputFormat::Text => eprintln!("{} {}", "✗".red().bold(), msg),
            OutputFormat::Json => {
                let err = serde_json::json!({"error": msg});
                println!("{}", serde_json::to_string(&err).unwrap());
            }
        }
    }

    pub fn info(&self, msg: &str) {
        if self.verbose >= 1 {
            match self.format {
                OutputFormat::Text => eprintln!("{} {}", "ℹ".blue(), msg),
                OutputFormat::Json => {}
            }
        }
    }

    pub fn data<T: serde::Serialize>(&self, data: &T) {
        match self.format {
            OutputFormat::Text => {
                // Pretty print for humans — customize per subcommand
                println!("{:#?}", data);
            }
            OutputFormat::Json => {
                println!("{}", serde_json::to_string_pretty(data).unwrap());
            }
        }
    }
}
```

### Step 6: Main entry point

```rust
use clap::Parser;

fn main() -> anyhow::Result<()> {
    let cli = Cli::parse();
    let config = Config::load(cli.config.as_deref())?;
    let output = Output::new(cli.format.clone(), cli.verbose);

    match cli.command {
        Commands::Init { name, template } => {
            cmd_init(&name, &template, &config, &output)?;
        }
        Commands::Build { release, output_dir } => {
            let dir = output_dir
                .or(config.output_dir.clone())
                .unwrap_or_else(|| PathBuf::from("./dist"));
            cmd_build(release, &dir, &output)?;
        }
        Commands::Status => {
            cmd_status(&config, &output)?;
        }
    }

    Ok(())
}

// If async (tokio):
// #[tokio::main]
// async fn main() -> anyhow::Result<()> { ... }
```

### Step 7: Subcommand implementations

```rust
fn cmd_init(name: &str, template: &str, config: &Config, out: &Output) -> anyhow::Result<()> {
    let template = if template == "default" {
        config.default_template.as_deref().unwrap_or("default")
    } else {
        template
    };

    out.info(&format!("Using template: {}", template));

    let project_dir = Path::new(name);
    if project_dir.exists() {
        anyhow::bail!("Directory '{}' already exists", name);
    }

    std::fs::create_dir_all(project_dir)?;
    // ... scaffold project files based on template

    out.success(&format!("Created project '{}' with template '{}'", name, template));
    Ok(())
}
```

### Step 8: Tests

```rust
#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_config_default() {
        let config = Config::default();
        assert!(config.default_template.is_none());
    }

    #[test]
    fn test_config_parse_toml() {
        let toml_str = r#"
            default_template = "react"
            output_dir = "./build"
        "#;
        let config: Config = toml::from_str(toml_str).unwrap();
        assert_eq!(config.default_template.unwrap(), "react");
    }
}

// Integration tests (tests/cli.rs):
use assert_cmd::Command;
use predicates::prelude::*;

#[test]
fn test_help_flag() {
    Command::cargo_bin("toolname")
        .unwrap()
        .arg("--help")
        .assert()
        .success()
        .stdout(predicate::str::contains("Usage:"));
}

#[test]
fn test_version_flag() {
    Command::cargo_bin("toolname")
        .unwrap()
        .arg("--version")
        .assert()
        .success();
}

#[test]
fn test_init_creates_directory() {
    let dir = tempfile::tempdir().unwrap();
    let project_name = dir.path().join("test-project");

    Command::cargo_bin("toolname")
        .unwrap()
        .args(["init", project_name.to_str().unwrap()])
        .assert()
        .success();

    assert!(project_name.exists());
}

#[test]
fn test_init_existing_directory_fails() {
    let dir = tempfile::tempdir().unwrap();

    Command::cargo_bin("toolname")
        .unwrap()
        .args(["init", dir.path().to_str().unwrap()])
        .assert()
        .failure()
        .stderr(predicate::str::contains("already exists"));
}

#[test]
fn test_json_output_format() {
    Command::cargo_bin("toolname")
        .unwrap()
        .args(["--format", "json", "status"])
        .assert()
        .success()
        .stdout(predicate::str::starts_with("{"));
}
```

## Project structure reference

```
toolname/
├── Cargo.toml
├── src/
│   ├── main.rs          # Entry point, CLI parsing, command dispatch
│   ├── cli.rs           # Clap derive structs (Cli, Commands, Args)
│   ├── config.rs        # Config file loading and merging
│   ├── output.rs        # Output formatting (text/JSON/colored)
│   ├── error.rs         # Error types (if using thiserror)
│   └── commands/
│       ├── mod.rs
│       ├── init.rs      # Init subcommand logic
│       ├── build.rs     # Build subcommand logic
│       └── status.rs    # Status subcommand logic
└── tests/
    └── cli.rs           # Integration tests with assert_cmd
```

## Best practices

### Separate CLI from logic
Keep clap structs and argument parsing in `cli.rs`. Put business logic in `commands/`. This makes the core logic testable without invoking the CLI.

### Use stderr for status, stdout for data
Human-readable messages (progress, success, errors) go to `stderr`. Machine-readable data goes to `stdout`. This lets users pipe output cleanly: `toolname status --format json | jq '.items'`.

### Respect NO_COLOR
Check the `NO_COLOR` environment variable and disable colors when set:
```rust
if std::env::var("NO_COLOR").is_ok() {
    colored::control::set_override(false);
}
```

### Exit codes
Use meaningful exit codes: 0 for success, 1 for general errors, 2 for usage errors (clap handles this automatically).

### Dev dependencies for testing

```toml
[dev-dependencies]
assert_cmd = "2"
predicates = "3"
tempfile = "3"
```

## Checklist before finishing

- [ ] `clap` derive structs have doc comments (they become --help text)
- [ ] All subcommands have short and long descriptions
- [ ] Config file has sensible defaults and doesn't error when missing
- [ ] `--format json` outputs valid, parseable JSON to stdout
- [ ] Errors show context (file paths, what went wrong, how to fix it)
- [ ] Integration tests verify CLI behavior end-to-end
- [ ] `cargo clippy` passes with no warnings
- [ ] `cargo fmt` has been run

Related Skills

rust-pro

24269
from davila7/claude-code-templates

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

browser-extension-builder

24269
from davila7/claude-code-templates

Expert in building browser extensions that solve real problems - Chrome, Firefox, and cross-browser extensions. Covers extension architecture, manifest v3, content scripts, popup UIs, monetization strategies, and Chrome Web Store publishing. Use when: browser extension, chrome extension, firefox addon, extension, manifest v3.

personal-tool-builder

24269
from davila7/claude-code-templates

Expert in building custom tools that solve your own problems first. The best products often start as personal tools - scratch your own itch, build for yourself, then discover others have the same itch. Covers rapid prototyping, local-first apps, CLI tools, scripts that grow into products, and the art of dogfooding. Use when: build a tool, personal tool, scratch my itch, solve my problem, CLI tool.

slack-bot-builder

24269
from davila7/claude-code-templates

Build Slack apps using the Bolt framework across Python, JavaScript, and Java. Covers Block Kit for rich UIs, interactive components, slash commands, event handling, OAuth installation flows, and Workflow Builder integration. Focus on best practices for production-ready Slack apps. Use when: slack bot, slack app, bolt framework, block kit, slash command.

web-artifacts-builder

24269
from davila7/claude-code-templates

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Telegram Bot Builder

24269
from davila7/claude-code-templates

This skill should be used when the user asks to "create a Telegram bot", "build a Telegram chatbot", "set up a Telegram webhook", "add inline keyboards to a bot", "handle Telegram callback queries", "implement Telegram payments", "send media via Telegram bot", "configure Telegram bot commands", "deploy a Telegram bot", or mentions the Telegram Bot API, telegram bot tokens, getUpdates, setWebhook, or bot frameworks like node-telegram-bot-api, grammy, python-telegram-bot, or aiogram. Provides comprehensive guidance for building production-ready Telegram bots with Node.js and Python.

playwright-e2e-builder

24269
from davila7/claude-code-templates

Plan and build comprehensive Playwright E2E test suites with Page Object Model, authentication state persistence, custom fixtures, visual regression, and CI integration. Uses interview-driven planning to clarify critical user flows, auth strategy, test data approach, and parallelization before writing any tests.

mcp-builder

24269
from davila7/claude-code-templates

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

artifacts-builder

24269
from davila7/claude-code-templates

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

viral-generator-builder

24269
from davila7/claude-code-templates

Expert in building shareable generator tools that go viral - name generators, quiz makers, avatar creators, personality tests, and calculator tools. Covers the psychology of sharing, viral mechanics, and building tools people can't resist sharing with friends. Use when: generator tool, quiz maker, name generator, avatar creator, viral tool.

app-builder

24269
from davila7/claude-code-templates

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

agent-tool-builder

24269
from davila7/claude-code-templates

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa