Checking Changes

What it does

This skill enables AI agents to detect and analyze modifications within Streamlit applications, ensuring code consistency after updates. It specifically monitors changes to the application state and UI components to maintain stability.

When to use it

• Verifying that recent code commits did not break existing dashboard layouts or data widgets.
• Auditing configuration files before deploying a new version of a Streamlit app to production.
• Identifying unintended side effects when refactoring shared utility functions used by the app.
• Comparing current application behavior against a known-good baseline after environment changes.

Key capabilities

• Detects structural changes in Streamlit session state variables.
• Monitors updates to custom components and layout configurations.
• Validates consistency between source code modifications and running instances.
• Provides feedback on potential conflicts introduced by new dependencies or library versions.

Example prompts

• "Check if the latest commit altered the data loading logic in my Streamlit dashboard."
• "Analyze changes made to the session state management since yesterday's deployment."
• "Identify any modifications to the sidebar navigation components in the current codebase."

Tips & gotchas

Ensure your development environment has access to version control history for accurate change detection. This skill is most effective when paired with automated testing suites that validate UI interactions after changes are detected.