Can this skill convert JSON to other data formats?

Yes, it supports bi-directional conversion between JSON and several formats including YAML, TOML, CSV, and XML, ensuring your data is structured correctly for any environment.

When should I use this skill during development?

Use this skill when you are debugging broken API responses, cleaning up configuration files, converting data formats, or performing structural analysis on deeply nested JSON objects.

What does the JSON Validator skill do?

The JSON Validator skill allows Claude to identify syntax errors, automatically repair common issues like trailing commas or unquoted keys, and format data with standardized 2-space indentation for better readability.

How does this skill improve my coding workflow?

It eliminates manual debugging of data files by providing line-specific error reporting and instant fixes for common formatting mistakes that often cause build or runtime errors.

What kind of structural analysis can this skill perform?

It provides comprehensive schema reporting, identifies data types, measures nesting depth, and reports array sizes, helping you optimize and document your data structures.

JSON Validator

Name: JSON Validator
Author: Alon2904

byAlon2904

Desarrollo de API

Validates syntax, formats structures, and repairs common errors in JSON data to ensure data integrity and readability.

Acerca de

This skill empowers Claude to act as a robust JSON utility, streamlining the process of working with data files and API responses. It provides a comprehensive suite of tools for identifying syntax errors with contextual feedback, automatically fixing frequent issues like trailing commas or unquoted keys, and prettifying minified data with standard indentation. Beyond simple validation, it offers structural analysis to report on schemas and nesting depth, and facilitates seamless conversion between JSON and other formats like YAML or TOML, making it an essential companion for developers and data engineers.

Características Principales

Structural analysis including schema reporting, nesting depth, and data type identification
Syntactic validation with line-specific error reporting and contextual fixes
Standardized formatting and prettification using 2-space indentation
Bi-directional format conversion between JSON and YAML, TOML, CSV, or XML
0 GitHub stars
Automated repair of common issues like trailing commas, single quotes, and unquoted keys

Casos de Uso

Debugging malformed API responses or configuration files
Converting JSON data structures into YAML for configuration management
Standardizing JSON formatting across a development project

Acerca de

Características Principales

Structural analysis including schema reporting, nesting depth, and data type identification
Syntactic validation with line-specific error reporting and contextual fixes
Standardized formatting and prettification using 2-space indentation
Bi-directional format conversion between JSON and YAML, TOML, CSV, or XML
0 GitHub stars
Automated repair of common issues like trailing commas, single quotes, and unquoted keys

Casos de Uso

Debugging malformed API responses or configuration files
Converting JSON data structures into YAML for configuration management
Standardizing JSON formatting across a development project