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Anthropic Skill Creator

Checked
s-hiraoku·vlatest·agents

Generates custom AI agent skills tailored to user needs using Anthropic's models for enhanced functionality.

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 s-hiraoku/skills-factory --skill anthropic-skill-creator -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

s-hiraoku

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 s-hiraoku/skills-factory at 8f64cdeae8.

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

Commit
8f64cdeae8
Manifest
.agents/skills/anthropic-skill-creator/SKILL.md
Scanned
8 files, 453 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 Anthropic Skill Creator skill allows AI agents to generate new skills for themselves, based on user prompts. It leverages the power of Anthropic's models to create functional and reusable skill definitions. This enables agents to dynamically expand their capabilities without requiring external intervention or code modifications.

When to use it

  • Rapid prototyping: Quickly test out new agent functionalities by having the agent generate a basic skill definition.
  • Automated skill expansion: Allow an agent to autonomously learn and implement new tasks based on observed user needs.
  • Skill customization: Tailor existing skills or create entirely new ones to fit specific workflows or domains.
  • Agent self-improvement: Enable agents to identify gaps in their skillset and automatically generate solutions.

Key capabilities

  • Generates skill definitions from natural language prompts.
  • Utilizes Anthropic's models for skill creation.
  • Creates reusable skill components.
  • Supports dynamic expansion of agent capabilities.

Example prompts

  • "Create a skill that summarizes news articles."
  • "Generate a skill to translate English text into Spanish."
  • "Write a skill that can calculate the area of a circle given its radius."

Tips & gotchas

The quality of generated skills depends heavily on the clarity and specificity of the prompt. It's recommended to start with simple, well-defined requests and iterate based on the results.