According to AlphaMoat, as of 2026-09, Create Cli has 4,284 downloads and 11 stars — ranked #2,307 of 5,078 AI skills overall, and #295 of 577 in Development.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 133 | 4.1K | 11 | - |
| SkillHub ↗ | 281 | 4.3K | 11 | — |
Platforms count differently and update at different times.
Design CLI surface area (syntax + behavior), human-first, script-friendly. For pre-implementation CLI specs or consistency refactors of existing CLIs: start from cli-guidelines.md as the default rubric (full guidelines at clig.dev) and - Ask only the minimum clarifying questions needed to lock the interface. Deliverable is a compact spec: command tree + USAGE, args/flags table, subcommand semantics, stdout/stderr and --json/--plain output rules, error/exit-code map, safety rules (--dry-run, confirmations, --force, --no-input), config precedence (flags > env > project config > user config > system), completion story, and 5-10 example invocations. Default conventions include -h/--help precedence, primary data on stdout, diagnostics on stderr, TTY-gated prompts, and - Destructive operations: interactive confirmation + non-interactive requires --force or explicit --confirm=.... Language-agnostic and design-only — no implementation. Card caution: generated specs may embed destructive workflows or secret handling — review implementations for dry-run behavior, confirmations, force/no-input controls, and configuration precedence.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.3K | — | 11 |
| 2026-08 | 4.0K | +4.9% | 11 |
| 2026-07 | 3.8K | +8.9% | 11 |
| 2026-06 | 3.5K | +5.2% | 11 |
| 2026-05 | 3.3K | — | 11 |
| 2026-03 | 2.8K | — | 11 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: create-cli description: > 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. ---
# 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.
A skill for working with GitHub through the gh CLI: pull request checks, workflow runs, and API queries.
A search skill that aggregates 16 engines and needs no API key.
Lists, configures, authorizes and calls MCP servers and tools from the command line.
Generate valid Mermaid diagrams like flowcharts, sequence diagrams, mind maps, ER diagrams, or user journeys from text or product descriptions.
Access the YouTube Data API through managed OAuth to search videos and manage channel content.
Accesses the GitHub REST API over a managed OAuth connection.
A coding workflow skill covering planning, implementation, verification, and testing.
A skill that collects essential Docker commands and container workflows.
A skill for working with GitHub through the gh CLI: pull request checks, workflow runs, and API queries.
Looks up current weather and forecasts through curl against public weather services.
Access Gmail, Calendar, Drive, Contacts, Sheets and Docs from the command line.
A script-based skill that generates or edits images with Nano Banana Pro.
A small CLI that edits a chosen PDF page from a natural language instruction.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.