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Create Skill

Checked
zpankz·vlatest·frontend

Generates custom AI skills based on user prompts, defining purpose, inputs, outputs, and logic for unique agent capabilities.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add zpankz/mcp-skillset --skill create-skill -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

zpankz

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 zpankz/mcp-skillset at d9355d58c0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d9355d58c0
Manifest
create-skill/SKILL.md
Scanned
9 files, 2,085 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The create-skill skill allows AI agents to generate code snippets and complete files based on user instructions. It can produce various programming languages, including Python, JavaScript, and HTML. The agent leverages this ability to automate repetitive coding tasks and assist in software development workflows.

When to use it

  • Generating boilerplate code for a new project (e.g., "Create a basic React component").
  • Completing existing code files based on comments or specifications.
  • Creating simple HTML pages with specific content and styling.
  • Automating the creation of Python scripts for data processing tasks.

Key capabilities

  • Code generation in multiple languages (Python, JavaScript, HTML)
  • File completion based on provided context
  • Creation of basic project structures
  • Support for various coding styles

Example prompts

  • "Create a Python function to calculate the factorial of a number."
  • "Generate an HTML form with fields for name and email."
  • "Complete this JavaScript file: // TODO: Implement user authentication"

Tips & gotchas

The skill's output quality depends heavily on the clarity and specificity of the prompt. Providing detailed instructions and examples will yield better results.