Create CLI

SkillCommunication

Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior. Use when you’re designing a CLI spec (before implementation) or refactoring an existing CLI’s surface area for consistency, composability, and discoverability.

Then ask your AI: use the Create CLI skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

What this skill tells your AI

The instructions your AI receives, as published by lev-os/agents in skills-db/_todo/create-cli/SKILL.md and read by Ahel’s review.

Design CLI surface area (syntax + behavior), human-first, script-friendly.

Do This First

Clarify (fast)

Ask, then proceed with best-guess defaults if user is unsure:

  • Command name + one-sentence purpose.
  • Primary user: humans, scripts, or both.
  • Input sources: args vs stdin; files vs URLs; secrets (never via flags).
  • Output contract: human text, --json, --plain, exit codes.
  • Interactivity: prompts allowed? need --no-input? confirmations for destructive ops?
  • Config model: flags/env/config-file; precedence; XDG vs repo-local.
  • Platform/runtime constraints: macOS/Linux/Windows; single binary vs runtime.

Deliverables (what to output)

When designing a CLI, produce a compact spec the user can implement:

  • Command tree + USAGE synopsis.
  • Args/flags table (types, defaults, required/optional, examples).
  • Subcommand semantics (what each does; idempotence; state changes).
  • Output rules: stdout vs stderr; TTY detection; --json/--plain; --quiet/--verbose.
  • Error + exit code map (top failure modes).
  • Safety rules: --dry-run, confirmations, --force, --no-input.
  • Config/env rules + precedence (flags > env > project config > user config > system).
  • Shell completion story (if relevant): install/discoverability; generation command or bundled scripts.
  • 5–10 example invocations (common flows; include piped/stdin examples).

Default Conventions (unless user says otherwise)

  • -h/--help always shows help and ignores other args.
  • --version prints version to stdout.
  • Primary data to stdout; diagnostics/errors to stderr.
  • Add --json for machine output; consider --plain for stable line-based text.
  • Prompts only when stdin is a TTY; --no-input disables prompts.
  • Destructive operations: interactive confirmation + non-interactive requires --force or explicit --confirm=....
  • Respect NO_COLOR, TERM=dumb; provide --no-color.
  • Handle Ctrl-C: exit fast; bounded cleanup; be crash-only when possible.

Templates (copy into your answer)

CLI spec skeleton

Fill these sections, drop anything irrelevant:

  1. Name: mycmd
  2. One-liner: ...
  3. USAGE:
    • mycmd [global flags] <subcommand> [args]
  4. Subcommands:
    • mycmd init ...
    • mycmd run ...
  5. Global flags:
    • -h, --help
    • --version
    • -q, --quiet / -v, --verbose (define exactly)
    • --json / --plain (if applicable)
  6. I/O contract:
    • stdout:
    • stderr:
  7. Exit codes:
    • 0 success
    • 1 generic failure
    • 2 invalid usage (parse/validation)
    • (add command-specific codes only when actually useful)
  8. Env/config:
    • env vars:
    • config file path + precedence:
  9. Examples:
    • …

Notes

  • Prefer recommending a parsing library (language-specific) only when asked; otherwise keep this skill language-agnostic.
  • If the request is “design parameters”, do not drift into implementation.

Signals

GitHub stars
23
Forks
2
Last commit
Oct 2026

Ahel recommends instead

Advanced
Item type
skill
Key
create-cli-lev-os
Source
github.com/lev-os/agents