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Tool Schema Markup

Checked
heyvhuang·vlatest·marketing·MIT

Automatically generates structured data markup (Schema.org) from marketing content to improve SEO and search visibility.

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 heyvhuang/ship-faster --skill tool-schema-markup -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

heyvhuang

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 heyvhuang/ship-faster at 64047d24e0.

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

Commit
64047d24e0
Manifest
skills/tool-schema-markup/SKILL.md
Scanned
1 file, 569 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

The tool-schema-markup skill enables AI agents to generate and interpret structured data formats like JSON Schema, allowing them to define precise input requirements for other tools. It streamlines the integration process by automatically creating the necessary configuration files that describe tool parameters and expected outputs.

When to use it

  • Defining strict input validation rules for custom API endpoints or internal functions.
  • Generating standardized documentation for third-party integrations without manual writing.
  • Configuring complex multi-step workflows where data types must be explicitly enforced between agents.
  • Rapidly prototyping new tools by instantly producing the required schema definitions.

Key capabilities

  • Automatic generation of JSON Schema objects based on tool requirements.
  • Validation of agent inputs against defined structural constraints.
  • Creation of reusable configuration templates for consistent tool deployment.

Example prompts

"Generate a JSON Schema for a tool that accepts user location and preferred cuisine type." "Create the input schema definition for an email drafting agent that requires sender, recipient, and subject fields." "Output a schema markup that validates numeric values between 1 and 100 for a pricing calculator tool."

Tips & gotchas

Ensure your AI agent has access to standard JSON Schema libraries if you plan to validate the generated output programmatically. This skill is most effective when used in environments where structured data exchange is critical for workflow reliability.