simple-task

Format and validate JSON data structures with explicit error reporting.

3|Updated Nov 16, 2025
One-click install
npx skills add https://github.com/tnez/agent-skills --skill simple-task
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: simple-task
Source: https://github.com/tnez/agent-skills/tree/main/examples/simple-task
Command: npx skills add https://github.com/tnez/agent-skills --skill simple-task

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Dealing with unformatted or invalid JSON data can be frustrating and error-prone, especially during development or data analysis. This skill automates JSON formatting and validation, ensuring readability and correctness.

Core Features & Use Cases:

  • Pretty-Print JSON: Automatically format compact JSON into a readable, indented structure.
  • Syntax Validation: Instantly check JSON for errors and report specific issues.
  • Use Case: When debugging an API response, paste the raw JSON into the agent and ask it to "Format this JSON" to quickly identify structural problems.

Quick Start: Format the following JSON data: '{ "item": "apple", "price": 1.20 }'.

Frequently Asked Questions about simple-task

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I format and validate JSON data quickly?

JSON formatting and validation instantly checks syntax, pretty-prints compact JSON with consistent indentation, and reports specific error locations. Paste raw JSON to identify structural problems, convert between compact and formatted representations, and ensure readability during development or debugging.

Why does my API response JSON look unreadable?

API responses often return compact, single-line JSON for transmission efficiency. Pretty-printing expands the structure with indentation and line breaks, making nested objects and arrays readable and easier to debug during development.

Can I check if JSON is valid before processing it?

Syntax validation instantly detects malformed JSON and reports the specific error location, preventing downstream processing failures. This catches missing quotes, mismatched brackets, trailing commas, and other structural issues before they cause problems.

What's the best way to debug JSON structure issues?

Format the JSON with consistent indentation and explicit error reporting to visualize the structure clearly. Pretty-printing reveals nesting problems, missing fields, and type inconsistencies that are invisible in compact JSON.

Does JSON formatting work with API responses and data exports?

Yes. The skill handles any valid JSON data structure—API responses, exported datasets, configuration files—converting between compact and formatted representations while validating syntax and ensuring 2-space indentation and trailing newlines.