Building Python Clis
CheckedHelps with building, Python as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add wdm0006/python-skills --skill building-python-clis -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
wdm0006
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned wdm0006/python-skills at 954796b7fc.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 954796b7fc
- Scanned
- 3 files, 501 lines
About this skill
What it does
This skill allows AI agents to generate command-line interfaces (CLIs) in Python. It can take a description of desired functionality and produce functional, runnable CLI applications using standard Python libraries. The generated CLIs include argument parsing, help messages, and basic error handling.
When to use it
- You need a simple tool for automating repetitive tasks but don't want to write the entire CLI from scratch.
- You have a complex workflow that could be simplified by providing users with command-line access.
- You want to quickly prototype a CLI application before committing to full development.
- You need a script that can accept user input and perform actions based on those inputs.
Key capabilities
- Generates Python CLI applications.
- Includes argument parsing functionality.
- Creates helpful command-line usage messages.
- Provides basic error handling.
Example prompts
- "Create a CLI tool that takes two numbers as arguments and prints their sum."
- "Generate a CLI to list all files in a directory, sorted by size."
- "Build a Python CLI that can download images from URLs provided as command-line arguments."
Tips & gotchas
- The skill is best suited for CLIs with relatively simple functionality. Complex workflows may require manual adjustments after the initial generation.