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/create-cli

CLI UX/spec: args, flags, help, output, errors, config, dry-run.

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$ npx -y skills add steipete/agent-scripts --skill create-cli --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/create-cli

Context preview

The summary Claude sees to decide when to auto-load this skill.

CLI UX/spec: args, flags, help, output, errors, config, dry-run.

SKILL.md

create-cli.SKILL.md
name: create-cli
description: "CLI UX/spec: args, flags, help, output, errors, config, dry-run."

Create CLI

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

Do This First

  • Read `agent-scripts/skills/create-cli/references/cli-guidelines.md` and apply it as the default rubric.
  • Upstream/full guidelines: https://clig.dev/ (propose changes: https://github.com/cli-guidelines/cli-guidelines)
  • Ask only the minimum clarifying questions needed to lock the interface.

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.
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