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schema-cleaner

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Normalize JSON Schemas for LLMs.

Software Engineering#llm#tool calling#schema validation#json schema#data normalization#api schema
Authorwinsorllc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of inconsistent JSON Schema support across different Large Language Model (LLM) providers, ensuring your tool-calling schemas are compatible and functional.

Core Features & Use Cases

  • Provider-Specific Cleaning: Removes keywords unsupported by specific LLM providers (e.g., Gemini, Anthropic, OpenAI).
  • Reference Resolution: Inlines $ref entries, making schemas self-contained.
  • Union Flattening: Simplifies anyOf/oneOf with literals into enum types.
  • Use Case: When defining a tool for an LLM, you can use this skill to clean its JSON schema so it works correctly whether you're targeting Gemini or OpenAI, preventing errors and ensuring reliable tool execution.

Quick Start

Use the schema-cleaner skill to clean the provided schema for the 'gemini' provider.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: schema-cleaner
Download link: https://github.com/winsorllc/upgraded-carnival/archive/main.zip#schema-cleaner

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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