Scaffold Streamlit apps with templates, pages, and uv-based run commands.
npx skills add https://github.com/sunLeee/optimization --skill app-streamlit
Please help me install this Agent Skill. Skill: app-streamlit Source: https://github.com/sunLeee/optimization/tree/main/.claude/skills/scaffolding/apps/app-streamlit Command: npx skills add https://github.com/sunLeee/optimization --skill app-streamlit
Streamlit app creation often requires repetitive setup and boilerplate for dashboards, data explorers, and chat interfaces. This skill provides a guided scaffold that standardizes structure, templates, and environment configuration to accelerate delivery and ensure consistency across projects.
Run "/app-streamlit scaffold dashboard" to generate a complete Streamlit app skeleton with templates and configuration.
High-intent search queries and answers about installing and using this skill.
Scaffold a Streamlit dashboard by running a single command to generate a complete app skeleton with standardized templates, page routing, and environment configuration. This provides a ready-to-use structure for data apps.
Set up a multi-page Streamlit app using a guided scaffold that standardizes structure and includes multi-page navigation examples. This accelerates delivery and ensures consistency across projects.
Yes, you can manage Streamlit app dependencies using uv. The scaffold integrates a uv-based development workflow, handling environment setup, dependency management, and run commands for your data app.
Yes, this Streamlit scaffolding tool supports chat interfaces. It provides ready-to-use templates for common app types including dashboards, data-apps, forms, chat, and multi-page layouts.
Integrate components into a Streamlit data app using the scaffold's ready-to-use component catalog integration. This provides pre-configured examples to streamline the addition of interactive elements.
iusztinpaulSet up uv-based Python environments for Streamlit apps with dependency installation.
cathayriskRun and configure Streamlit apps via the Streamlit CLI.
seanyofthedeadDevelop and optimize Streamlit applications with caching and fragments.
ckrono-progDevelop interactive web applications using Python and Streamlit.
