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Create Skill

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antinomyhq·vlatest·agents·Apache-2.0

Generates custom AI skills tailored to your needs using AntinomHQ's advanced framework and knowledge base.

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 tailcallhq/forgecode --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

antinomyhq

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 antinomyhq/forge at d760d320d4.

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

Commit
d760d320d4
Manifest
crates/forge_repo/src/skills/create-skill/SKILL.md
Scanned
1 file, 376 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 antinomyhq-create-skill allows AI agents to generate new skills. It can take a description of a desired skill and produce the necessary code files, including tests and documentation. This streamlines the process of expanding an agent's capabilities with custom functionality.

When to use it

  • You need to quickly prototype a new capability for your AI agent without writing all the code from scratch.
  • You want to automate the creation of skill templates with pre-defined structures and testing frameworks.
  • You are building a library of reusable skills and require a tool to generate them consistently.
  • You're onboarding new developers to your project and need a standardized way for them to create agent skills.

Key capabilities

  • Skill generation from descriptions
  • Automated code file creation (including tests)
  • Documentation generation
  • Templating of skill structure

Example prompts

  • "Create a skill that can summarize news articles."
  • "Generate a new skill for translating English to French."
  • "Build a skill that calculates the shipping cost based on weight and destination."

Tips & gotchas

The quality of the generated skill depends heavily on the clarity and detail provided in the description. Be as specific as possible when describing the desired functionality.