DevHive-Cli streamlit

Guidelines for developing interactive Streamlit web applications, covering configuration, UI, and workflow.

install
source · Clone the upstream repo
git clone https://github.com/El3tar-cmd/DevHive-Cli
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/El3tar-cmd/DevHive-Cli "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/streamlit" ~/.claude/skills/el3tar-cmd-devhive-cli-streamlit && rm -rf "$T"
manifest: skills/streamlit/SKILL.md
source content

Always follow these guidelines when building a Streamlit web application:

This stack establishes a complete environment for developing interactive Streamlit web applications. Streamlit enables rapid development and deployment of data-driven web applications with Python.

Configuration

  • Server configurations is already set in the
    .streamlit/config.toml
    file do not change it.
  • Add custom theme configurations to the same file if needed but only if the user requests it.

UI Guidelines

  • Maintain default font settings (family, size, colors) unless specifically requested
  • Focus on content organization and interactive elements
  • Utilize Streamlit's built-in components for consistent UI
  • IMPORTANT: Do not use any custom styling/CSS for the application unless explicitly requested. Use Streamlit's default styling and built-in components.

Technical Considerations

  • The
    experimental_rerun
    function is not supported in this environment instead use the
    st.rerun()
    function.
  • Use standard Streamlit functions for application flow control

Workflow

  • Use the following workflow command to run the application:

    streamlit run app.py --server.port 5000