neuron-analyze-api

Analyze API documentation formats and output structured JSON for neuron-ui page generation.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/H2OSLabs/neuron-ui --skill neuron-analyze-api
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neuron-analyze-api
Source: https://github.com/H2OSLabs/neuron-ui/tree/main/.claude/skills/neuron-analyze-api
Command: npx skills add https://github.com/H2OSLabs/neuron-ui --skill neuron-analyze-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Parse and understand API documentation in any format to produce a structured, machine-readable analysis for page generation.

Core Features & Use Cases

  • Detects API formats (Swagger/OpenAPI, Postman collections, cURL commands, text, tables, screenshots) and extracts resources, endpoints, and field types.
  • Outputs a structured analysis describing resources, endpoints, fields, data types, and inferred page patterns to drive neuron-ui page generation.
  • Use Case: Prepare API context for neuron-generate-page by providing diverse API docs and receiving a ready-to-consume JSON structure.

Quick Start

Provide your API documentation and request a structured analysis for neuron-ui page generation.

Frequently Asked Questions about neuron-analyze-api

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

FAQPage Schema
How do I parse OpenAPI and Postman documentation into structured data?

To parse OpenAPI and Postman documentation into structured data, provide your API docs to the analyzer. It detects formats like Swagger, Postman collections, and cURL commands, then extracts resources, endpoints, and field types into a canonical JSON structure.

Can I extract API endpoints from cURL commands and text descriptions?

Yes, you can extract API endpoints from cURL commands and text descriptions. The analysis process detects cURL commands, plain text, tables, and screenshots, extracting resources, endpoints, and field types into a machine-readable JSON-like output.

What is the best way to prepare API context for UI page generation?

The best way to prepare API context for UI page generation is to analyze diverse API documentation and output a structured description. This produces a canonical JSON structure detailing resources, endpoints, fields, and inferred page patterns ready for page generation.

Does the API analyzer work with screenshots and tables from API docs?

Yes, the API analyzer works with screenshots and tables from API documentation. It detects various formats including tables and screenshots, extracting the underlying resources, endpoints, and field types to produce a structured analysis output.

Do I need a specific API format to generate a structured endpoint analysis?

No, you do not need a specific API format to generate a structured endpoint analysis. The process detects Swagger, OpenAPI, Postman collections, cURL commands, text, tables, or screenshots, extracting resources and fields into a canonical JSON structure.