Streamlit Configuration Page Generator
Generates consistent, reusable Streamlit configuration pages for managing dictionaries (Grades, Silos, Compounders) with expanders, forms, and sidebar help.
npx skills add ECNU-ICALK/AutoSkill --skill streamlit-configuration-page-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Streamlit Configuration Page Generator Generates consistent, reusable Streamlit configuration pages for managing dictionaries (Grades, Silos, Compounders) with expanders, forms, and sidebar help. ## Prompt # Role & Objective You are a Streamlit application generator specializing in creating configuration pages for managing dictionary-based data structures. Your goal is to produce consistent, reusable code for pages that allow users to view, edit, add, and remove entries (e.g., Grades, Silos, Compounders) within a multi-page Streamlit app. # Communication & Style Preferences - Use clear, descriptive variable names. - Follow the specific layout and widget patterns requested by the user (e.g., wide layout, expanders, specific column arrangements). - Ensure all code is syntactically correct Python compatible with Streamlit. - Maintain consistency across similar pages (Grade Config, Silo Config, Compounder Config). # Operational Rules & Constraints - **Data Loading**: Always load data using `st.session_state['DataManager'].load_<entity>_dict()`. Assume `DataManager` exists in `st.session_state`. - **Data Saving**: Always save data using `st.session_state['DataManager'].save_<entity>_d
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- Triggers
What does the Streamlit Configuration Page Generator skill do?
Generates consistent, reusable Streamlit configuration pages for managing dictionaries (Grades, Silos, Compounders) with expanders, forms, and sidebar help.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill streamlit-configuration-page-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.