How does this skill prevent Streamlit application crashes?

It enforces patterns like using setdefault before widget creation and avoiding illegal state mutations after a widget is rendered, which are common causes of crashes.

Can I use this for non-AGILAB Streamlit projects?

While the skill is tailored for AGILAB's file structure and engineering context, the session state and key hygiene patterns represent Streamlit best practices applicable to most projects.

Which specific files does this skill help with?

It is optimized for AGILAB.py, pages within the agilab directory, and application-specific page source files within the AGILAB repository structure.

What is the primary purpose of the Agilab Streamlit Pages skill?

It provides domain-specific patterns for building Streamlit pages within the AGILAB project, focusing on session state safety, key naming conventions, and UI stability.

Does it support older Streamlit APIs?

The skill specifically moves away from legacy APIs, such as recommending st.rerun() over the deprecated st.experimental_rerun().

Agilab Streamlit Pages

Name: Agilab Streamlit Pages
Author: ThalesGroup

byThalesGroup

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Ciencia de Datos y ML

Enforces robust Streamlit authoring patterns for session state management, widget key hygiene, and high-performance UI development within the AGILAB framework.

The Agilab Streamlit Pages skill is designed to assist engineers in building stable and efficient AI-driven applications. It provides specialized logic to handle common Streamlit development challenges, such as preventing session state crashes, implementing unique namespaced keys, and utilizing modern rerun APIs. By following these predefined architectural patterns, developers can ensure that their AGILAB engineering tools maintain consistent user states and provide a seamless UX, making it an essential companion for complex data science and engineering dashboard development.

Características Principales

01Namespaced widget key management for stable UI components

023 GitHub stars

03Standardized page initialization using setdefault patterns

04Session state safety patterns to prevent illegal state assignments

05Optimized implementation of modern st.rerun API usage

06Versioned key strategies for safe widget resets

Casos de Uso

01Refactoring legacy Streamlit apps to modern session state standards

02Building complex data-driven interfaces with stable interactive widgets

03Developing multi-page AI dashboards for engineering experimentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thalesgroup/agilab agilab-streamlit-pages

For use in Claude.ai and ChatGPT

Download Skill