What frontend tech stack is this skill designed for?

The skill is optimized for React applications using Vite, Node.js, and npm, following a specific REST API and SSE networking contract.

What is the primary purpose of the qeeg-council-frontend skill?

It provides Claude with specific patterns and instructions to build the React-based user interface for qEEG report analysis, patient management, and multi-stage diagnostic workflows.

Does it support file management and report viewing?

Yes, it contains specialized logic for patient file uploads, bulk processing, and viewing various artifact formats including PDFs, extracted images, and metadata.

How does this skill handle real-time UI updates?

It includes standardized implementation patterns for Server-Sent Events (SSE) to provide live feedback during the complex 6-stage analysis process.

qEEG Council Frontend Architect

Name: qEEG Council Frontend Architect
Author: DMontgomery40

byDMontgomery40

Design Tools

Builds and maintains sophisticated React interfaces for qEEG analysis, including real-time progress tracking and complex medical report workflows.

About

The qeeg-council-frontend skill equips Claude to architect and manage the specialized React interface for the qEEG Council platform. It provides deep domain expertise for building complex 6-stage analysis wizards, integrating Server-Sent Events (SSE) for real-time progress updates, and managing intricate patient data structures. From developing artifact viewers for medical PDFs to wiring up peer-review voting systems, this skill ensures that frontend development follows the specific architectural patterns and API contracts required for professional neuro-analysis tools.

Key Features

Multi-format artifact viewers for Markdown, JSON, and PDF reports
0 GitHub stars
Automated export workflows for Markdown and PDF document generation
Model council selection wizard with consolidator and voting panels
Comprehensive patient management featuring bulk upload and search
6-stage analysis progress UI with real-time SSE streaming integration

Use Cases

Building complex file management systems for patient reports and artifacts
Developing a multi-step analysis dashboard for medical diagnostics
Implementing real-time data streaming in a React-based analysis tool

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dmontgomery40/qeeg-analysis qeeg-council-frontend

For use in Claude.ai and ChatGPT

Download Skill

GitHub