parse-json

Inspect unknown JSON files to discover structure and extract targeted fields.

4|Updated Feb 25, 2026

Search Tags:#data extraction #python #json #parsing #schema discovery #structure inspection

Ready to run

npx skills add https://github.com/AMindToThink/claude-code-settings --skill parse-json

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parse-json
Source: https://github.com/AMindToThink/claude-code-settings/tree/main/skills/parse-json
Command: npx skills add https://github.com/AMindToThink/claude-code-settings --skill parse-json

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the guesswork from working with unfamiliar JSON files by forcing a structure-first approach before any extraction begins.

Core Features & Use Cases

Structure Discovery: Safely inspect unknown JSON to reveal keys, nesting, and list shapes before writing extraction logic.
Targeted Extraction: Pull only the fields you actually need after the file structure is confirmed.
Use Case: When you receive a messy API response or a large JSON export, use this Skill to map the structure and extract the exact values without trial-and-error.

Quick Start

Ask the assistant to inspect the JSON file first and then extract the specific fields you need from the discovered structure.

Frequently Asked Questions about parse-json

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

FAQPage Schema

How do I parse an unknown JSON file structure without guessing the keys?▼

To parse an unknown JSON file safely, you must run a structure inspection pass first to reveal keys, nesting, and list shapes before writing any data extraction logic. This prevents trial-and-error field retrieval.

What is the best way to extract specific fields from a messy API response?▼

The best way to extract specific fields from a messy API response is to inspect the JSON structure first, then perform validated key-aware extraction. This guarantees you pull only the exact nested values you need without errors.

How do I map nested JSON records and get clean scalar summaries?▼

Mapping nested JSON records requires a single inspection pass to identify list shapes and nesting levels, followed by targeted extraction to generate clean scalar summaries for your data analysis and debugging workflows.

Can I use this for JSON data cleanup workflows and debugging?▼

Yes, you can use this structure-first JSON parsing method for data cleanup workflows and debugging. It inspects unfamiliar JSON files and applies validated key-aware extraction to isolate exact values during analysis.

Does Python JSON parsing require knowing the schema before extraction?▼

Python JSON parsing does not require knowing the schema beforehand if you use a structure discovery approach. You can inspect unknown JSON to map keys and nesting first, allowing targeted extraction without prior format knowledge.