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Create Agent Skill

Checked
ratacat·vlatest·agents

Generates new, functional agent skills based on provided descriptions and desired capabilities.

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 ratacat/claude-skills --skill create-agent-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

ratacat

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 ratacat/claude-skills at d4b471d05d.

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

Scanned
1 file, 13 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

This skill allows you to create AI agents. It provides a framework and tools for defining agent behaviors, goals, and interactions. The resulting agents can then be deployed and utilized in various applications requiring automated decision-making and task execution.

When to use it

  • Automating repetitive tasks: Delegate actions like data entry or report generation to an AI agent created with this skill.
  • Building virtual assistants: Create specialized assistants for customer service, technical support, or personal productivity.
  • Simulating complex systems: Model and experiment with scenarios involving multiple actors and interactions using agents built with this skill.
  • Developing game AI: Design intelligent non-player characters (NPCs) that exhibit realistic behaviors within a game environment.

Key capabilities

  • Agent definition
  • Behavioral programming
  • Goal setting
  • Interaction management

Example prompts

  • "Create an agent to summarize news articles about climate change."
  • "Build an AI assistant for scheduling meetings and sending reminders."
  • "Design a virtual character that can hold a conversation about philosophy."

Tips & gotchas

This skill requires some understanding of AI concepts and programming principles. While it simplifies the process, familiarity with agent-based systems will significantly improve your results.