library/specializations/cli-mcp-development/skills/yargs-scaffolder/SKILL.md
Generate Yargs-based CLI applications with commands, positional args, middleware, and TypeScript support. Creates a complete scaffolded CLI application with modern patterns.
npx skillsauth add a5c-ai/babysitter yargs-scaffolderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Generate a complete Yargs CLI application with TypeScript, middleware support, and best practices.
Invoke this skill when you need to:
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | projectName | string | Yes | Name of the CLI project (kebab-case) | | description | string | Yes | Short description of the CLI | | commands | array | No | List of commands to scaffold | | typescript | boolean | No | Use TypeScript (default: true) | | packageManager | string | No | npm, yarn, or pnpm (default: npm) | | strictMode | boolean | No | Enable strict mode (default: true) |
{
"commands": [
{
"name": "serve",
"description": "Start the server",
"aliases": ["s"],
"positional": [
{ "name": "port", "type": "number", "default": 3000 }
],
"options": [
{ "name": "host", "type": "string", "default": "localhost" },
{ "name": "watch", "type": "boolean", "alias": "w" }
]
}
]
}
<projectName>/
├── package.json
├── tsconfig.json
├── .gitignore
├── README.md
├── src/
│ ├── index.ts # Entry point
│ ├── cli.ts # Yargs setup
│ ├── commands/
│ │ ├── index.ts # Command exports
│ │ └── <command>.ts # Command modules
│ ├── middleware/
│ │ ├── logger.ts # Logging middleware
│ │ └── config.ts # Config loading middleware
│ ├── utils/
│ │ └── helpers.ts # Helper utilities
│ └── types/
│ └── index.ts # Type definitions
└── tests/
└── commands/
└── <command>.test.ts
import yargs from 'yargs';
import { hideBin } from 'yargs/helpers';
import * as commands from './commands';
import { loggerMiddleware } from './middleware/logger';
export const cli = yargs(hideBin(process.argv))
.scriptName('<projectName>')
.usage('$0 <cmd> [args]')
.middleware([loggerMiddleware])
.command(commands.serveCommand)
.command(commands.buildCommand)
.demandCommand(1, 'You need at least one command')
.strict()
.fail((msg, err, yargs) => {
if (err) throw err;
console.error(msg);
console.error(yargs.help());
process.exit(1);
})
.help()
.alias('help', 'h')
.version()
.alias('version', 'v')
.wrap(Math.min(120, process.stdout.columns || 80));
import { CommandModule, Argv } from 'yargs';
interface ServeArgs {
port: number;
host: string;
watch: boolean;
}
export const serveCommand: CommandModule<{}, ServeArgs> = {
command: 'serve [port]',
aliases: ['s'],
describe: 'Start the development server',
builder: (yargs: Argv) => {
return yargs
.positional('port', {
type: 'number',
default: 3000,
describe: 'Port to listen on'
})
.option('host', {
type: 'string',
default: 'localhost',
describe: 'Host to bind to'
})
.option('watch', {
alias: 'w',
type: 'boolean',
default: false,
describe: 'Enable watch mode'
});
},
handler: async (argv) => {
console.log(`Starting server on ${argv.host}:${argv.port}`);
}
};
{
"dependencies": {
"yargs": "^17.0.0"
},
"devDependencies": {
"@types/node": "^20.0.0",
"@types/yargs": "^17.0.0",
"typescript": "^5.0.0",
"tsx": "^4.0.0",
"vitest": "^1.0.0"
}
}
development
Model documentation skill for generating model cards following Google's model card framework.
development
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
data-ai
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
devops
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.