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/cli-development

Use when building command-line tools. Covers argument design, exit codes, streams and piping, progress output, configuration precedence, and behavior that respects the shell. Trigger on "build a cli for", "what exit code should this return", "make this tool work in a pipe",

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$ npx -y skills add nimadorostkar/Claude-Skills-collection --skill cli-development --agent claude-code

SKILL.md

cli-development.SKILL.md
name: cli-development
description: Use when building command-line tools. Covers argument design, exit codes, streams and piping, progress output, configuration precedence, and behavior that respects the shell. Trigger on "build a cli for", "what exit code should this return", "make this tool work in a pipe", "design the flags for this command". Do not use for writing a Bash script — see the shell skill.
metadata:
  category: development
  version: 1.0.0
  tags: [cli, terminal, ux, tooling, unix]

CLI Development

Purpose

Build command-line tools that behave the way the shell expects: composable, scriptable, quiet by default, and honest about failure.

When to Use

  • Building a developer tool, deployment script, or internal utility with a CLI.
  • Designing the argument surface of an existing tool.
  • Making a tool safe to use inside pipelines and CI.

Capabilities

  • Argument and subcommand design.
  • Correct use of stdout, stderr, and exit codes.
  • Configuration precedence: flags, environment, config file, defaults.
  • Human output versus machine output (`--json`, TTY detection).
  • Progress, colour, and interactivity that degrade correctly when piped.

Inputs

  • The tasks the tool must perform and who runs it (humans, CI, both).
  • Whether it will be composed with other tools.
  • Whether it performs destructive operations.

Outputs

  • A command surface that is predictable and discoverable.
  • Machine-readable output behind a flag.
  • Exit codes that scripts can branch on.
  • Help text that answers the question without a web search.

Workflow

1. **Design the verbs** — Subcommands are verbs on nouns: `tool deploy service`, not `tool --deploy --service`. Group related operations. 2. **Separate the streams** — Results go to stdout. Everything else — progress, warnings, logs — goes to stderr. This is what makes `tool list | grep x` work. 3. **Define the exit codes** — 0 for success, 1 for a general failure, 2 for a usage error. Document any others. 4. **Set the configuration precedence** — Command-line flag beats environment variable beats config file beats default. Never surprise the user by reversing this. 5. **Detect the TTY** — Colour, spinners, and prompts only when stdout is a terminal. When piped, output is plain and non-interactive. 6. **Make destruction opt-in** — Anything irreversible requires confirmation, or `--yes` when non-interactive. `--dry-run` on anything with side effects.

Best Practices

  • Be quiet on success. A tool that prints five lines of celebration on every run is unusable in a loop.
  • Provide `--json` for anything a script might parse. Parsing human output is a bug generator for everyone downstream.
  • Honour `NO_COLOR` and `--no-color`. Honour `CI` by disabling interactivity.
  • Long flags are self-documenting; short flags are for the ones typed constantly. Do not invent a short flag for every option.
  • Read from stdin when the input argument is `-`. It costs three lines and makes the tool composable.
  • Error messages state what failed, why, and what to do about it. "Error: invalid input" is not one of those.

Examples

**Stream and exit-code discipline:**

import json, sys

def main(argv: list[str]) -> int:
    args = parse_args(argv)

    try:
        results = search(args.query, limit=args.limit)
    except ConfigError as e:
        print(f"error: {e}\nhint: run `tool config init` to create a config file", file=sys.stderr)
        return 2
    except UpstreamError as e:
        print(f"error: search backend unavailable: {e}", file=sys.stderr)
        return 1

    if args.json:
        json.dump([r.to_dict() for r in results], sys.stdout)
        sys.stdout.write("\n")
    else:
        for r in results:
            print(f"{r.id}\t{r.title}")          # stdout: the result

    if not results:
        print("no matches", file=sys.stderr)     # stderr: the commentary
    return 0


if __name__ == "__main__":
    sys.exit(main(sys.argv[1:]))

`tool search foo | head -5` works. `tool search foo --json | jq .` works. `tool search foo > /dev/null` prints nothing but the commentary. All three are the point.

Notes

  • Exiting non-zero on "no results found" is a design decision, not an obvious one. `grep` does it; most tools should not. Whatever you choose, document it.
  • A `--verbose` flag that changes stdout breaks pipelines. Verbosity belongs on stderr.
  • If the tool takes more than a second, print progress to stderr — but only when attached to a TTY.
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@nimadorostkar
Ships withclaude-skills-collection

A curated library of 137 production-grade skills for Claude and other AI coding agents. Every skill follows one structure, speaks with one voice, and earns its place by changing what the agent does.

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Questions about cli-development.

Which coding agents can use cli-development?
cli-development installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.