Can this skill check for physical schema files?

Yes, the skill includes a 'check_schemas' parameter that verifies whether the associated JSON schema files actually exist on the filesystem, preventing broken references.

What metadata does it return for valid types?

For every valid type, it returns the specific file pattern, content type, schema location, and a description pulled directly from the Betty registry.

Why would I use this during skill creation?

It acts as a safeguard in the meta-skill workflow, halting the process if invalid artifact types are detected and offering corrections before any code is generated.

How does the fuzzy matching engine work?

The skill uses three distinct strategies: singular/plural detection, generic-to-specific variant mapping, and Levenshtein distance to catch typos and suggest the most likely intended type.

Artifact Type Validator

Name: Artifact Type Validator
Author: epieczko

byepieczko

0•

Developer Tools

Validates artifact type names against the Betty Framework registry and provides intelligent fuzzy-matched suggestions for invalid entries.

The Artifact Type Validator is a specialized utility designed to ensure consistency and accuracy when defining artifacts within the Betty Framework. By checking artifact names against a centralized registry, this skill retrieves critical metadata such as file patterns, content types, and JSON schemas. It features a robust suggestion engine that utilizes multiple fuzzy-matching strategies—including singular/plural detection and Levenshtein distance—to automatically correct typos and guide users toward the correct specific variants of generic models. This tool is essential for developers building structured AI workflows who need to prevent naming errors and maintain schema integrity.

Key Features

01Automatic metadata retrieval for file patterns and content types

02Multi-strategy fuzzy matching (Singular/Plural, Levenshtein, and Generic-to-Specific)

030 GitHub stars

04On-disk schema existence verification

05Detailed validation reports with confidence-scored suggestions

06Seamless integration with meta-skill creation workflows

Use Cases

01Automatically correcting typos and pluralization errors in artifact references

02Ensuring correct artifact naming during the development of new AI skills

03Validating and retrieving metadata for structured data models and schemas

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add epieczko/betty artifact.validate.types

For use in Claude.ai and ChatGPT

Download Skill