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Tool Function Schema Designer

Checked
patricio0312rev·vlatest·database·MIT

Automatically generates structured schemas and function definitions for databases based on natural language descriptions.

Repository

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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 patricio0312rev/skills --skill tool-function-schema-designer -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

patricio0312rev

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Install target

Live repository

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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

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned patricio0312rev/skills at 79ea6af485.

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

Commit
79ea6af485
Manifest
ai-engineering/tool-function-schema-designer/SKILL.md
Scanned
1 file, 208 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.
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About this skill

What it does

This skill automatically generates structured schemas and function definitions for databases, designed to be reliably invoked by Large Language Models (LLMs). It produces code in a format compatible with OpenAI's function calling schema, including TypeScript interfaces and Zod validation schemas. The goal is to simplify the process of creating robust tool integrations for AI agents that interact with data sources.

When to use it

  • You need to define structured inputs and outputs for an LLM-powered agent interacting with a database.
  • You want to ensure consistent data types and formats when passing information between your agent and backend functions.
  • You are building custom tools that require precise parameter validation before execution.
  • You're working on integrating multiple tools into a single AI agent workflow.

Key capabilities

  • Generates OpenAI function calling schemas (including name, description, parameters).
  • Creates corresponding TypeScript interfaces for type safety.
  • Provides Zod schemas for runtime validation of tool parameters.
  • Includes example implementation functions and a tool registry structure.

Example prompts

  • "Create a schema for a function that searches product documentation, allowing filtering by category and version."
  • "Generate a tool definition to create support tickets with fields for subject, description, and priority."
  • "Design a function schema for retrieving user profiles, including optional parameters for sorting and pagination."

Tips & gotchas

  • The generated schemas are designed for OpenAI's function calling format. Ensure your LLM is configured to utilize this format.
  • This skill focuses on generating the schema and validation logic; you will need to implement the actual backend functionality (e.g., the search_documentation function in the example).