Entrypoint structure, exit codes, cross-platform scripts. Use when building command line utilities, scripts, or applications.
npx skills add https://github.com/flutter/agent-plugins --skill dart-build-cli-app
Initialize new CLI projects using the official Dart template to ensure standard directory structures.
dart create -t cli <project_name> to scaffold a console application with basic argument parsing.main()) exclusively in the bin/ directory.lib/src/ and expose public APIs via lib/<project_name>.dart.dart format . --set-exit-if-changed. This returns exit code 1 if formatting violations exist.Import the args package to manage command-line arguments, flags, and subcommands.
ArgParser directly to define flags (addFlag) and options (addOption).git): Implement CommandRunner and extend Command for each subcommand.CommandRunner.argParser and command-specific arguments on the individual Command.argParser.UsageException to gracefully handle invalid arguments and display the automatically generated help text.Leverage the io and stack_trace packages to build robust, production-ready CLI tools.
io package's ExitCode enum to return standard POSIX exit codes (e.g., ExitCode.success.code, ExitCode.usage.code).sharedStdIn from the io package if multiple asynchronous listeners need sequential access to standard input.Chain.capture() from the stack_trace package to track asynchronous stack chains.Trace.terse or Chain.terse to strip noisy core library frames and present readable errors to the user.stderr and appropriate non-zero exit codes (e.g., using exit(1) or triggering a 64 exit code after a caught UsageException).> [!IMPORTANT]
> All new commands and significant features must be covered by automated tests. Manual verification is not sufficient for testing logic. However, manual verification of help text and user experience (UX) is still required to ensure the interface is intuitive and correct.
Use test_process and test_descriptor to write high-fidelity integration tests for your CLI.
test_descriptor (d.dir, d.file).await d.Descriptor.create().TestProcess.start('dart', ['run', 'bin/cli.dart', ...args]).StreamQueue matchers (e.g., emitsThrough, emits).await process.shouldExit(0).await d.Descriptor.validate().Select the appropriate compilation target based on your distribution requirements.
dart run bin/cli.dart. This uses the JIT compiler for rapid iteration.dart build cli. This runs build hooks and outputs to build/cli/_/bundle/.dart compile exe bin/cli.dart -o <output_path>. This bundles the Dart runtime and machine code into a single file.dart compile aot-snapshot bin/cli.dart. Run the resulting .aot file using dartaotruntime.<details>
<summary>Cross-Compilation Targets (Linux Only)</summary>
Dart supports cross-compiling to Linux from macOS, Windows, or Linux hosts.
Use the --target-os and --target-arch flags with dart compile exe or dart compile aot-snapshot.
--target-os=linux (Only Linux is currently supported as a cross-compilation target)--target-arch=arm64 (64-bit ARM)--target-arch=x64 (x86-64)--target-arch=arm (32-bit ARM)--target-arch=riscv64 (64-bit RISC-V)Example: dart compile exe --target-os=linux --target-arch=arm64 bin/cli.dart
</details>
Command in lib/src/commands/.name and description properties.argParser.addFlag() or argParser.addOption().run() method with the core logic.CommandRunner instance in bin/cli.dart using addCommand().test/ directory using test_process or standard tests.dart run bin/cli.dart help <command_name> to verify help text generation.dart compile exe and run the resulting executable to verify the target user experience (e.g., ./bin/cli <command>).dart format . --set-exit-if-changed to ensure code formatting.dart analyze to ensure no static analysis errors.dart test to pass all integration tests.dart compile exe bin/cli.dart -o build/cli-hostdart compile exe --target-os=linux --target-arch=x64 bin/cli.dart -o build/cli-linux-x64import 'dart:io';
import 'package:args/command_runner.dart';
import 'package:stack_trace/stack_trace.dart';
class CommitCommand extends Command {
@override
final String name = 'commit';
@override
final String description = 'Record changes to the repository.';
CommitCommand() {
argParser.addFlag('all', abbr: 'a', help: 'Commit all changed files.');
}
@override
Future<void> run() async {
final commitAll = argResults?['all'] as bool? ?? false;
print('Committing... (All: $commitAll)');
}
}
void main(List<String> args) {
Chain.capture(() async {
final runner = CommandRunner('dgit', 'Distributed version control.')
..addCommand(CommitCommand());
await runner.run(args);
}, onError: (error, chain) {
if (error is UsageException) {
stderr.writeln(error.message);
stderr.writeln(error.usage);
exit(64); // ExitCode.usage.code
} else {
stderr.writeln('Fatal error: $error');
stderr.writeln(chain.terse);
exit(1);
}
});
}
import 'package:test/test.dart';
import 'package:test_process/test_process.dart';
import 'package:test_descriptor/test_descriptor.dart' as d;
void main() {
test('CLI formats output correctly and modifies filesystem', () async {
// 1. Setup mock filesystem
await d.dir('project', [
d.file('config.json', '{"key": "value"}')
]).create();
// 2. Spawn the CLI process
final process = await TestProcess.start(
'dart',
['run', 'bin/cli.dart', 'process', '--path', '${d.sandbox}/project']
);
// 3. Validate stdout stream
await expectLater(process.stdout, emitsThrough('Processing complete.'));
// 4. Validate exit code
await process.shouldExit(0);
// 5. Validate filesystem mutations
await d.dir('project', [
d.file('config.json', '{"key": "value"}'),
d.file('output.log', 'Success')
]).validate();
});
}
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).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
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).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take flutter/dart-build-cli-app from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.