Cli Developer logo

Cli Developer

CommunityPopular
Jeffallan
cli-developer

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.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill namecli-developer
Stars
11.5K
Forks
1.1K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jeffallan on GitHub. Read the source before you install it.

Installation

Install the Cli Developer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/cli-developer .claude/skills/cli-developer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cli Developer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cli Developer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cli Developer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CLI Developer

Core Workflow

  1. Analyze UX — Identify user workflows, command hierarchy, common tasks. Validate by listing all commands and their expected --help output before writing code.
  2. Design commands — Plan subcommands, flags, arguments, configuration. Confirm flag naming is consistent and no existing signatures are broken.
  3. Implement — Build with the appropriate CLI framework for the language (see Reference Guide below). After wiring up commands, run <cli> --help to verify help text renders correctly and <cli> --version to confirm version output.
  4. Polish — Add completions, help text, error messages, progress indicators. Verify TTY detection for color output and graceful SIGINT handling.
  5. Test — Run cross-platform smoke tests; benchmark startup time (target: <50ms).

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Design Patternsreferences/design-patterns.mdSubcommands, flags, config, architecture
Node.js CLIsreferences/node-cli.mdcommander, yargs, inquirer, chalk
Python CLIsreferences/python-cli.mdclick, typer, argparse, rich
Go CLIsreferences/go-cli.mdcobra, viper, bubbletea
UX Patternsreferences/ux-patterns.mdProgress bars, colors, help text

Quick-Start Example

Node.js (commander)

js
#!/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.

Constraints

MUST DO

  • Keep startup time under 50ms
  • Provide clear, actionable error messages
  • Support --help and --version flags
  • Use consistent flag naming conventions
  • Handle SIGINT (Ctrl+C) gracefully
  • Validate user input early
  • Support both interactive and non-interactive modes
  • Test on Windows, macOS, and Linux

MUST NOT DO

  • Block on synchronous I/O unnecessarily — use async reads or stream processing instead.
  • Print to stdout when output will be piped — write logs/diagnostics to stderr.
  • Use colors when output is not a TTY — detect before applying color:
    js
    // Node.js
    const useColor = process.stdout.isTTY;
    python
    # Python
    import sys
    use_color = sys.stdout.isatty()
    go
    // Go
    import "golang.org/x/term"
    useColor := term.IsTerminal(int(os.Stdout.Fd()))
  • Break existing command signatures — treat flag/subcommand renames as breaking changes.
  • Require interactive input in CI/CD environments — always provide non-interactive fallbacks via flags or env vars.
  • Hardcode paths or platform-specific logic — use os.homedir() / os.UserHomeDir() / Path.home() instead.
  • Ship without shell completions — all three frameworks above have built-in completion generation.

Output Templates

When implementing CLI features, provide:

  1. Command structure (main entry point, subcommands)
  2. Configuration handling (files, env vars, flags)
  3. Core implementation with error handling
  4. Shell completion scripts if applicable
  5. Brief explanation of UX decisions

Knowledge Reference

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

Documentation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cli Developer AI skill do?

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.

Why use Cli Developer on TypingMind?

Because you install it once and use it with any model. Cli Developer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cli Developer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/cli-developer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cli Developer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cli Developer?

As many as you like. As long as a model supports skills, you can use Cli Developer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cli Developer AI skill free?

Yes. It is published on GitHub by Jeffallan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇