Why use Streamlit instead of React or FastAPI?

According to the project ADRs, Streamlit is used for this skill to allow for rapid prototyping, faster setup, and more traceable demos for the MVP phase.

How does this skill handle data security?

It enforces quality checks that prevent the persistent storage of CV or Job Description data, ensuring privacy is maintained during the analysis process.

What is the primary purpose of the streamlit-ui skill?

The streamlit-ui skill is used to manage the frontend of applications, specifically focusing on the upload, analysis, and result display components within a Streamlit framework.

Which files does this skill typically modify?

This skill primarily interacts with frontend/streamlit_app.py and references architectural documents to ensure UI consistency.

Streamlit UI Architect

Name: Streamlit UI Architect
Author: gw-ai-security

bygw-ai-security

0•

データサイエンスとML

Develops and maintains interactive Streamlit interfaces for document analysis, resume matching, and real-time data visualization.

The streamlit-ui skill is designed to manage and enhance the frontend experience of the ATS CV Scorer project. It provides Claude with specific instructions to modify the Streamlit application for resume uploads, matching analysis, and result visualization. By following established architectural records (ADR-001), this skill ensures that UI changes remain consistent with backend outputs, implements robust error handling to prevent crashes, and maintains security by preventing persistent storage of sensitive applicant data while facilitating rapid MVP development.

主な機能

01Streamlit interface customization and feature enhancement

02Secure file upload validation and temporary file lifecycle management

03Automated UI error handling and crash prevention

04Consistent formatting between core analysis outputs and frontend display

050 GitHub stars

06Real-time visualization of resume-to-job matching results

ユースケース

01Updating the dashboard to support new resume analysis metrics or visualizations

02Refining the user experience for uploading and validating CV and Job Description files

03Migrating static analysis reports into interactive Streamlit components

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gw-ai-security/ats-cv-scorer streamlit-ui

For use in Claude.ai and ChatGPT

主な機能

01Streamlit interface customization and feature enhancement

02Secure file upload validation and temporary file lifecycle management

03Automated UI error handling and crash prevention

04Consistent formatting between core analysis outputs and frontend display

050 GitHub stars

06Real-time visualization of resume-to-job matching results

ユースケース

01Updating the dashboard to support new resume analysis metrics or visualizations

02Refining the user experience for uploading and validating CV and Job Description files

03Migrating static analysis reports into interactive Streamlit components

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gw-ai-security/ats-cv-scorer streamlit-ui

For use in Claude.ai and ChatGPT