Update V8 Version
openinterpreter/openinterpreter
Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.
Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap.
$ npx skills add ancoleman/ai-design-components --skill building-clis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ancoleman/ai-design-components building-clis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/building-clis .claude/skills/building-clis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "building-clis" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clis into .claude/skills/building-clis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-clis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ancoleman/ai-design-components --skill building-clis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ancoleman/ai-design-components building-clis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/building-clis .agents/skills/building-clis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "building-clis" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clis into .agents/skills/building-clis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-clis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ancoleman/ai-design-components --skill building-clis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ancoleman/ai-design-components building-clis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/building-clis .cursor/skills/building-clis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "building-clis" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clis into .cursor/skills/building-clis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-clis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ancoleman/ai-design-components.git --path skills/building-clis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ancoleman/ai-design-components --skill building-clis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ancoleman/ai-design-components building-clis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/building-clis .gemini/skills/building-clis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "building-clis" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clis into .gemini/skills/building-clis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-clis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ancoleman/ai-design-components building-clisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ancoleman/ai-design-components --skill building-clis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/building-clis .github/skills/building-clis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "building-clis" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clis into .github/skills/building-clis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-clis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ancoleman/ai-design-components --skill building-clis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ancoleman/ai-design-components building-clis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/building-clis .opencode/skills/building-clis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "building-clis" agent skill from https://github.com/ancoleman/ai-design-components/tree/main/skills/building-clis into .opencode/skills/building-clis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-clis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
building-clisBuild professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap.
Building Clis is an agent skill from ancoleman/ai-design-components. Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 24 other files, including reference files (for example `examples/python/test_cli.py`, `examples/python/typer_basic.py` and `examples/python/typer_config.py`).
It works with Python and Rust. The repository describes itself as: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 76551b7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python, Go and Rust, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
cargopipkubectlgopythongitgcloudFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Building Clis loads about 3.2k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 959 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from ancoleman/ai-design-components at commit 76551b7, republished under its MIT licence (© ancoleman). 959 words, ~3,209 tokens.
.claude/skills/building-clis/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.Build professional command-line interfaces across Python, Go, and Rust using modern frameworks with robust argument parsing, configuration management, and shell integration.
Use this skill when:
Common triggers: "create a CLI tool", "build a command-line interface", "add CLI arguments", "parse command-line options", "generate shell completions"
Python Projects:
Go Projects:
Rust Projects:
For detailed framework comparison and selection criteria, see references/framework-selection.md.
Positional Arguments:
convert input.jpg output.pngOptions:
--output file.txt, --config app.yamlFlags:
--verbose, --dry-run, --forceDecision Matrix:
| Use Case | Type | Example |
|---|---|---|
| Primary required input | Positional Argument | git commit -m "message" |
| Optional configuration | Option | --config app.yaml |
| Boolean setting | Flag | --verbose, --force |
| Multiple values | Variadic Argument | files... |
See references/argument-patterns.md for comprehensive parsing patterns.
Flat Structure (1 Level):
app command1 [args]
app command2 [args]Use for: Small CLIs with 5-10 operations
Grouped Structure (2 Levels):
app group subcommand [args]Use for: Medium CLIs with logical groupings (10-30 commands)
Example: kubectl get pods, kubectl create deployment
Nested Structure (3+ Levels):
app group subgroup command [args]Use for: Large CLIs with deep hierarchies (30+ commands)
Example: gcloud compute instances create
See references/subcommand-design.md for structuring strategies.
Standard Precedence (Highest to Lowest):
./config.yaml)~/.config/app/config.yaml)/etc/app/config.yaml)Best Practices:
--help--print-config to show effective configuration~/.config/app/) for config filesSee references/configuration-management.md for implementation patterns across languages.
Format Selection:
| Use Case | Format | When |
|---|---|---|
| Human consumption | Colored text, tables | Default interactive mode |
| Machine consumption | JSON, YAML | --output json, piping |
| Logging/debugging | Plain text | --verbose, stderr |
| Progress tracking | Progress bars, spinners | Long operations |
Best Practices:
--output flag (json, yaml, table)See references/output-formatting.md for formatting strategies.
Installation:
pip install "typer[all]" # Includes rich for colored outputBasic Example:
import typer
from typing import Annotated
app = typer.Typer()
@app.command()
def greet(
name: Annotated[str, typer.Argument(help="Name to greet")],
formal: Annotated[bool, typer.Option(help="Use formal greeting")] = False
):
"""Greet someone with a message."""
greeting = "Good day" if formal else "Hello"
typer.echo(f"{greeting}, {name}!")
if __name__ == "__main__":
app()Key Features:
See examples/python/ for complete working examples including subcommands, config management, and interactive features.
Installation:
go get -u github.com/spf13/cobra@latestBasic Example:
var rootCmd = &cobra.Command{
Use: "greet [name]",
Args: cobra.ExactArgs(1),
Run: func(cmd *cobra.Command, args []string) {
fmt.Printf("Hello, %s!\n", args[0])
},
}
rootCmd.Flags().Bool("formal", false, "Use formal greeting")
rootCmd.Execute()Key Features:
See examples/go/ for complete working examples including Viper config and multi-level subcommands.
Installation (Cargo.toml):
[dependencies]
clap = { version = "4.5", features = ["derive"] }Basic Example (Derive API):
use clap::Parser;
#[derive(Parser)]
#[command(about = "Greet someone")]
struct Cli {
/// Name to greet
name: String,
/// Use formal greeting
#[arg(long)]
formal: bool,
}
fn main() {
let cli = Cli::parse();
let greeting = if cli.formal { "Good day" } else { "Hello" };
println!("{}, {}!", greeting, cli.name);
}Key Features:
See examples/rust/ for complete working examples including subcommands and builder API patterns.
Python (rich):
from rich.progress import track
for _ in track(range(100), description="Processing..."):
time.sleep(0.01)Go (progressbar):
import "github.com/schollz/progressbar/v3"
bar := progressbar.Default(100)
for i := 0; i < 100; i++ {
bar.Add(1)
}Rust (indicatif):
use indicatif::ProgressBar;
let bar = ProgressBar::new(100);
for _ in 0..100 {
bar.inc(1);
}Python:
confirm = typer.confirm("Are you sure?")
if not confirm:
raise typer.Abort()Go:
reader := bufio.NewReader(os.Stdin)
fmt.Print("Are you sure? (y/n): ")
response, _ := reader.ReadString('\n')Rust:
use dialoguer::Confirm;
if Confirm::new().with_prompt("Are you sure?").interact()? {
// Proceed
}Python (Typer):
_MYAPP_COMPLETE=bash_source myapp > ~/.myapp-complete.bash
_MYAPP_COMPLETE=zsh_source myapp > ~/.myapp-complete.zshGo (Cobra):
rootCmd.AddCommand(&cobra.Command{
Use: "completion [bash|zsh|fish|powershell]",
Args: cobra.ExactArgs(1),
Run: func(cmd *cobra.Command, args []string) {
switch args[0] {
case "bash":
rootCmd.GenBashCompletion(os.Stdout)
case "zsh":
rootCmd.GenZshCompletion(os.Stdout)
}
},
})Rust (clap):
use clap_complete::{generate, shells::Bash};
generate(Bash, &mut Cli::command(), "myapp", &mut io::stdout())See references/shell-completion.md for installation instructions.
pyproject.toml:
[project]
name = "myapp"
version = "1.0.0"
scripts = { myapp = "myapp.cli:app" }Publish:
pip install build twine
python -m build
twine upload dist/*Formula:
class Myapp < Formula
desc "My CLI application"
url "https://github.com/user/myapp/archive/v1.0.0.tar.gz"
def install
system "go", "build", "-o", bin/"myapp"
end
endPublish:
cargo login
cargo publishInstallation:
cargo install myappSee references/distribution.md for comprehensive packaging strategies including binary releases.
Always Provide:
--help and -h for usage information--version and -V for version displayArgument Handling:
-- separator for options vs. positional args-v) and long (--verbose) formsError Handling:
Interactivity:
--yes/--force to skip prompts for automationFile Formats:
--check-configSecret Management:
Precedence:
--print-config to show effective configurationtesting-strategies:
building-ci-pipelines:
api-patterns:
secret-management:
Decision Frameworks:
Implementation Guides:
Code Examples:
Framework Recommendations:
Common Patterns:
Output Standards:
--output flagDistribution:
pip install)cargo install), binary releases© ancoleman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 19 other files (references) in skills/building-clis of ancoleman/ai-design-components.
Open the folder on GitHubat commit 76551b7
Building Clis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Building Clis this skillancoleman/ai-design-components | 526 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Update V8 Versionopeninterpreter/openinterpreter | 69k | 2 repos | ~845 | Automated safety check: Pass | Apache-2.0 | |
| Firecrawl Page Scrape Integrationfirecrawl/firecrawl | 190k | 1 repos | ~944 | Automated safety check: Pass | ISC | |
| Fory Releaseapache/fory | 4.6k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Apple Container Test RunnerRustPython/RustPython | 22k | — | ~467 | Automated safety check: Pass | MIT | |
| Release Skillsnexmoe/eve | 421 | 3 repos | ~3.3k | Automated safety check: Pass | None |
openinterpreter/openinterpreter
Bumps the pinned v8 and rusty_v8 versions in Codex, validates the release-candidate path with the v8-canary check, and traces failures to upstream build changes.
firecrawl/firecrawl
Adds Firecrawl's /scrape endpoint to application code to pull markdown, HTML, links, screenshots or structured data from a single known URL.
apache/fory
Prepare an Apache Fory release candidate from a clean release branch, including the version bump, RC tag, JVM staging, ASF source artifacts, SVN upload, and vote email.
RustPython/RustPython
Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.
nexmoe/eve
Universal release workflow. An agent skill from nexmoe/eve.
RustPython/RustPython
Implements missing CPython C-API functions in RustPython's crates/capi, mapping each header to its module with the pyo3-ffi header split.
ancoleman/ai-design-components
Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support.
ancoleman/ai-design-components
Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages.
ancoleman/ai-design-components
Builds tables and data grids for displaying tabular information, from simple HTML tables to complex enterprise data grids.
ancoleman/ai-design-components
Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.
ancoleman/ai-design-components
Designs layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints.
ancoleman/ai-design-components
Displays chronological events and activity through timelines, activity feeds, Gantt charts, and calendar interfaces.
Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Building Clis is an agent skill from ancoleman/ai-design-components. Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap.
Building Clis fits situations like: creating developer tools; automation scripts; infrastructure management CLIs with robust argument parsing; interactive features.
Run `npx skills add ancoleman/ai-design-components --skill building-clis -a claude-code`. Or copy the skill folder (skills/building-clis in ancoleman/ai-design-components) into .claude/skills/building-clis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ancoleman/ai-design-components --skill building-clis -a codex`. Or copy the skill folder (skills/building-clis in ancoleman/ai-design-components) into .agents/skills/building-clis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ancoleman/ai-design-components --skill building-clis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-clis, .gemini/skills/building-clis, .github/skills/building-clis and .opencode/skills/building-clis in your project.
Going by SKILL.md and its folder, Building Clis needs Python, Go and Rust for the scripts in its folder and the command-line tools its instructions call (cargo, pip, kubectl, go, python and git). Our summary lists: Python 3; Docker.
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Building Clis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 18k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Building Clis: Update V8 Version (openinterpreter/openinterpreter, 69k stars), Firecrawl Page Scrape Integration (firecrawl/firecrawl, 190k stars), Fory Release (apache/fory, 4.6k stars) and Apple Container Test Runner (RustPython/RustPython, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ancoleman (a GitHub user) maintains it in ancoleman/ai-design-components, which has 526 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on December 11, 2025.
Source: ancoleman/ai-design-components on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.