How does this improve AI coding efficiency?

It allows Claude to make surgical, precise updates to specific data points rather than reading and re-writing an entire file, which reduces token usage and minimizes the risk of hallucinations.

Are the file writes safe and validated?

Yes, the skill performs atomic writes and includes validation steps to ensure that the resulting JSON remains syntactically correct after any operation.

Does this skill support nested JSON objects?

Yes, it uses standard dot notation (e.g., parent.child.field) to access and modify deeply nested structures within any JSON file.

Does this skill require any external Python packages?

No, it is built entirely using the Python standard library (json, argparse, pathlib), ensuring it works out-of-the-box in most environments.

Can I modify specific elements in a JSON array?

Absolutely. The skill supports bracket notation for array indices, including the use of [-1] to target the last element in a list.

JSON File Operations

Name: JSON File Operations
Author: cuioss

bycuioss

Herramientas para Desarrolladores

Provides robust CRUD operations for JSON files using intuitive path notation for precise field-level manipulation.

Acerca de

The JSON File Operations skill empowers Claude Code with precise control over structured data, enabling it to read, write, and update specific fields without the risk of manually rewriting entire files. By utilizing sophisticated JSON path notation—including support for nested objects and array indexing—it ensures that developers can programmatically manage configuration files, state logs, and database exports with high reliability. Its implementation of atomic writes and built-in validation makes it an essential utility for maintaining data integrity during complex AI-driven coding tasks.

Características Principales

Full CRUD support for any JSON-formatted file
Sophisticated array manipulation including negative index support
0 GitHub stars
Atomic write operations to prevent data corruption
Deep field-level access via dot and bracket path notation
Zero-dependency implementation using Python standard library

Casos de Uso

Programmatically adding or removing entries from JSON-based metadata and logs
Managing structured memory layers or run configurations for AI workflows
Updating specific configuration keys in complex project settings

Acerca de

Características Principales

Full CRUD support for any JSON-formatted file
Sophisticated array manipulation including negative index support
0 GitHub stars
Atomic write operations to prevent data corruption
Deep field-level access via dot and bracket path notation
Zero-dependency implementation using Python standard library

Casos de Uso

Programmatically adding or removing entries from JSON-based metadata and logs
Managing structured memory layers or run configurations for AI workflows
Updating specific configuration keys in complex project settings