Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Design CLI surface area (syntax + behavior), human-first, script-friendly.
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.
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.
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).
-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.
Fill these sections, drop anything irrelevant: Name: mycmd One-liner: ... USAGE: mycmd [global flags] <subcommand> [args] Subcommands: mycmd init ... mycmd run ... Global flags: -h, --help --version -q, --quiet / -v, --verbose (define exactly) --json / --plain (if applicable) I/O contract: stdout: stderr: Exit codes: 0 success 1 generic failure 2 invalid usage (parse/validation) (add command-specific codes only when actually useful) Env/config: env vars: config file path + precedence: Examples: …
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.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.