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Skill Creator

Checked
jinfanzheng·vlatest·agents·MIT

This Skill Creator allows you to easily build and customize new AI agent skills, streamlining automation workflows and boosting productivity.

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 jinfanzheng/kode-sdk-csharp --skill 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

jinfanzheng

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 jinfanzheng/kode-sdk-csharp at 8531dbdfa5.

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

Scanned
7 files, 948 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 jinfanzheng-skill-creator skill allows AI agents to create and manage skills. It simplifies the process of defining, building, and deploying custom functionalities within an agent ecosystem. This enables rapid prototyping and expansion of agent capabilities without extensive coding.

When to use it

  • Rapid Skill Prototyping: Quickly test new ideas for agent functionality by creating simple skill prototypes.
  • Custom Agent Extension: Develop specialized skills tailored to unique business processes or data sources.
  • Skill Management Automation: Automate the creation and deployment of skills based on predefined templates or configurations.
  • Agent Training & Education: Use it to teach users how to extend agent functionality through skill development.

Key capabilities

  • Skill Creation
  • Skill Definition
  • Skill Building
  • Skill Deployment
  • Skill Management

Example prompts

  • "Create a new skill called 'EmailSummarizer' that summarizes incoming emails."
  • "Build a skill to extract key data points from customer support tickets."
  • "Deploy the 'DataValidation' skill to our production environment."

Tips & gotchas

This skill requires familiarity with agent architecture and skill development concepts. While it simplifies creation, understanding the underlying principles of skill design is crucial for effective implementation.