.claude/skills/cli-developer/SKILL.md
Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.
npx skillsauth add shalevamin/The-_Ultimate_agents cli-developerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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--help output before writing code.<cli> --help to verify help text renders correctly and <cli> --version to confirm version output.Load detailed guidance based on context:
| Topic | Reference | Load When |
|-------|-----------|-----------|
| Design Patterns | references/design-patterns.md | Subcommands, flags, config, architecture |
| Node.js CLIs | references/node-cli.md | commander, yargs, inquirer, chalk |
| Python CLIs | references/python-cli.md | click, typer, argparse, rich |
| Go CLIs | references/go-cli.md | cobra, viper, bubbletea |
| UX Patterns | references/ux-patterns.md | Progress bars, colors, help text |
#!/usr/bin/env node
// npm install commander
const { program } = require('commander');
program
.name('mytool')
.description('Example CLI')
.version('1.0.0');
program
.command('greet <name>')
.description('Greet a user')
.option('-l, --loud', 'uppercase the greeting')
.action((name, opts) => {
const msg = `Hello, ${name}!`;
console.log(opts.loud ? msg.toUpperCase() : msg);
});
program.parse();
For Python (click/typer) and Go (cobra) quick-start examples, see references/python-cli.md and references/go-cli.md.
--help and --version flags// Node.js
const useColor = process.stdout.isTTY;
# Python
import sys
use_color = sys.stdout.isatty()
// Go
import "golang.org/x/term"
useColor := term.IsTerminal(int(os.Stdout.Fd()))
os.homedir() / os.UserHomeDir() / Path.home() instead.When implementing CLI features, provide:
CLI frameworks (commander, yargs, oclif, click, typer, argparse, cobra, viper), terminal UI (chalk, inquirer, rich, bubbletea), testing (snapshot testing, E2E), distribution (npm, pip, homebrew, releases), performance optimization
development
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
testing
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
tools
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
tools
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.