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gw-ai-security
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streamlit-ui

Provide a reusable Streamlit UI layer for CV file upload, preview, and analysis display.

Updated Aug 27, 2026
Search Tags:#ui#frontend#analysis#mvp#streamlit#upload#matching
One-click install
npx skills add https://github.com/gw-ai-security/ats-cv-scorer --skill streamlit-ui
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: streamlit-ui
Source: https://github.com/gw-ai-security/ats-cv-scorer/tree/main/.codex/skills/streamlit-ui
Command: npx skills add https://github.com/gw-ai-security/ats-cv-scorer --skill streamlit-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a clear, reusable Streamlit UI layer to support file upload, result preview, and analysis visualization for CV processing workflows, ensuring a consistent MVP experience.

Core Features & Use Cases

  • Upload and preview CV documents
  • Run analysis and visualize matching results
  • Support UI experimentation and feature toggles for MVP demonstrations

Quick Start

Start the UI by running the Streamlit app and verify that file upload, preview, and result visualization work as expected.

Frequently Asked Questions about streamlit-ui

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

FAQPage Schema
How do I build a Streamlit UI for file upload and analysis visualization?▼

You can build a Streamlit UI for file upload and analysis visualization by using a reusable UI layer that handles upload validation, document preview, and outcomes presentation for MVP demonstrations.

What is the best way to preview CV documents in a Streamlit MVP application?▼

The best way to preview CV documents in a Streamlit MVP is to implement a UI layer that validates uploaded files and displays them directly within the app interface before running analysis.

Can I use Streamlit for UI experimentation and feature toggles in CV processing workflows?▼

Yes, you can use Streamlit for UI experimentation and feature toggles in CV processing workflows to support interactive MVP demonstrations and test different analysis result presentations.

Does Streamlit support matching result visualization for uploaded files?▼

Streamlit supports matching result visualization for uploaded files by providing a frontend layer that runs analysis on the uploaded documents and displays the matching outcomes in the application interface.

What are the limitations of using Streamlit for frontend MVP development?▼

Streamlit frontend MVP development is limited to specific UI changes and feature experiments, requiring alignment with frontend documentation like ADR-001-streamlit-mvp.md and FR.en.md to ensure consistent upload and presentation behaviors.

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