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Developing with Streamlit

lib/streamlit/.agents/skills/developing-with-streamlit/SKILL.md

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Developing with Streamlit

This is a routing skill that directs you to specialized references for Streamlit development.

When to Use

Invoke this skill when the user's request involves:

  • Creating a new Streamlit app
  • Editing or modifying an existing Streamlit app
  • Debugging Streamlit issues (errors, session state bugs, performance problems)
  • Beautifying or improving the visual design of a Streamlit app
  • Optimizing Streamlit performance (caching, fragments, reruns)
  • Building and running Streamlit apps
  • Styling widgets (button colors, backgrounds, CSS customization)
  • Any question about Streamlit widgets, layouts, or components

Trigger phrases: "streamlit", "st.", "dashboard", "app.py", "beautify app", "make it look better", "style", "CSS", "color", "background", "theme", "button", "slow rerun", "session state", "performance", "faster", "cache"

Workflow

Step 1: Locate the Streamlit source code
    ↓
Step 2: Identify task type and load appropriate reference(s)
    ↓
Step 3: Apply guidance from reference to edit code
    ↓
Step 4: Check if app is running and offer to run it

Step 1: Locate the Streamlit Source Code (if needed)

Goal: Identify the app file(s) to edit. Skip this step if already clear from context.

When to skip:

  • User mentioned a specific file path (e.g., "edit src/app.py")
  • User has file(s) already in conversation context
  • Working directory has an obvious single entry point (app.py, streamlit_app.py)

When to search:

  • User says "my streamlit app" without specifying which file
  • Multiple Python files exist and it's unclear which is the entry point

If searching is needed:

  1. Quick scan for Streamlit files:

    bash
    grep -rl 'import streamlit\|from streamlit' --include='*.py' . 2>/dev/null | head -10
    
  2. Apply entry point heuristics (in priority order):

    • streamlit_app.py at root → this is the entry point (canonical name)
    • app.py at root → likely entry point
    • File using st.navigation → entry point for multi-page apps
    • Single .py file at root with streamlit import → entry point
    • Files in pages/ or app_pages/ subdirectory → NOT entry points (these are sub-pages)
  3. If entry point is obvious → use it, no confirmation needed

    Example: Found streamlit_app.py and pages/metrics.py → use streamlit_app.py

  4. Only ask if genuinely ambiguous (e.g., multiple root-level candidates, none named streamlit_app.py):

    Found multiple potential entry points:
    - dashboard.py
    - main.py
    
    Which is your main app?
    

Output: Path to the main Streamlit source file(s)

Step 2: Identify Task Type and Route to Reference

Goal: Determine what the user needs and load the appropriate guidance.

IMPORTANT — use_container_width is deprecated. Never add use_container_width to new code. Streamlit elements now stretch to fill their container by default. Use width="stretch" or width="content" instead. Remove use_container_width when you encounter it.

Use this routing table to select reference(s). Always read the reference file before making changes.

All file paths below are relative to this skill's directory (streamlit/.agents/skills/developing-with-streamlit/).

User NeedReference to Read
App is slow, reruns take too long, or data loads repeatedly — caching strategies (st.cache_data, st.cache_resource), st.fragment for partial reruns, and avoiding unnecessary recomputationread references/performance.md
Building a dashboard with KPIs, metrics, and charts — composing st.metric, charts, and data tables into clean dashboard layouts with columns and containersread references/dashboards.md
Making an app look polished — icons (Material Symbols), spacing, color accents, visual hierarchy, and small design touches that elevate qualityread references/design.md
Choosing the right selection widget — when to use st.selectbox vs st.radio vs st.pills vs st.segmented_control vs st.multiselect, including modern replacements for deprecated patternsread references/selection-widgets.md
Custom themes, colors, and CSS styling — configuring colors in .streamlit/config.toml, reading the active theme at runtime via st.context.theme, and targeting widgets with st.markdown CSS injectionread references/theme.md
Page structure and layoutst.columns, st.tabs, st.sidebar, st.container, st.expander, responsive layout patterns, and when to use each container typeread references/layouts.md
Displaying or editing tabular datast.dataframe column configuration, st.data_editor for editable tables, chart selection, and best practices for large datasetsread references/data-display.md
Multi-page app architecturest.navigation, st.Page, page routing, shared state across pages, and structuring apps with multiple viewsread references/multipage-apps.md
Persisting values across rerunsst.session_state, widget keys, callbacks (on_change, on_click), and patterns for stateful interactionsread references/session-state.md
Rich text formatting — Markdown in st.markdown and widget labels, colored text (:red[...]), badges, Material Symbols icons (:material/icon_name:), and LaTeX mathread references/markdown.md
Chat and conversational UIsst.chat_message, st.chat_input, streaming responses with st.write_stream, and building AI assistant interfacesread references/chat-ui.md
Connecting to Snowflakest.connection("snowflake"), secrets configuration, querying data, and Snowflake-specific patternsread references/snowflake-connection.md
Building or packaging a custom component, triggering events back to Python from JS/HTML, custom HTML/JS with event handling (CCv2), OR any UI element that doesn't exist as a native Streamlit widget (e.g., drag-and-drop, custom interactive visualization, canvas drawing)read references/custom-components-v2.mdIMPORTANT: st.components.v1 is deprecated. Never use v1 for new components; always use st.components.v2.component().
Using third-party community componentsstreamlit-extras (pagination, annotated text), streamlit-pivot-table, and other popular packages that extend Streamlit's built-in capabilitiesread references/third-party-components.md
Structuring app code — when to split into modules vs keep in one file, helper functions, and clean project organization patternsread references/code-organization.md
Environment and dependency setup — Python environment management, installing packages, and configuring the development environment for Streamlit appsread references/environment-setup.md
Streamlit CLI and configurationstreamlit run, streamlit config, .streamlit/config.toml (script-level and project-level), port settings, and server optionsread references/cli.md

Fallback — "this widget doesn't exist in Streamlit":

If the user asks for a UI element or interaction that has never been part of Streamlit's API and cannot be built with any combination of native widgets (e.g., drag-and-drop, canvas drawing, custom interactive visualizations), route to the CCv2 reference (references/custom-components-v2.md). Do not route to CCv2 for features that exist in newer Streamlit versions (e.g., st.connection, st.segmented_control) — suggest upgrading instead.

Common combinations:

For beautifying/improving an app, read in order:

  1. references/design.md
  2. references/layouts.md
  3. references/selection-widgets.md

For building a dashboard, read:

  1. references/dashboards.md
  2. references/data-display.md

IMPORTANT - Use templates:

When creating a new dashboard app, prefer starting from a template in assets/templates/apps/:

  • If a template closely matches the request, copy it and adapt:
    • dashboard-metrics — KPI cards with time-series charts
    • dashboard-companies — company/entity comparison
    • dashboard-compute — resource/credit monitoring
    • dashboard-feature-usage — feature adoption tracking
    • dashboard-seattle-weather — public dataset exploration
    • dashboard-stock-peers — financial peer analysis
  • If no template is a close match, start from scratch but borrow relevant patterns from the templates (e.g., caching with @st.cache_data, filter_by_time_range(), st.set_page_config(), chart utilities, layout structure)
  • See assets/templates/apps/README.md for template descriptions

When editing an existing app, use templates as reference for best practices:

  • Check assets/templates/apps/ for caching patterns, layout structure, and data-loading patterns
  • Apply consistent patterns from templates to improve the existing code

When applying a custom theme, use a config from assets/templates/themes/configs/:

  • Copy one config file (dracula, financial-dashboard, fluent, jupyter, material-ui, minimal, nord, one-dark-pro, shadcn, solarized-light, ubuntu, vscode) to the app's .streamlit/config.toml
  • Themes include custom fonts via Google Fonts
  • See assets/templates/themes/README.md for the theme list

For performance optimization, read:

  1. references/performance.md

Step 3: Apply Guidance to Edit Code

Goal: Make changes to the Streamlit app following reference best practices.

Actions:

  1. Apply the patterns and recommendations from the loaded reference(s)
  2. Make edits to the source file(s) identified in Step 1
  3. Preserve existing functionality while adding improvements

Step 4: Check Running Apps and Offer to Run

Goal: Help the user see their changes by checking if their app is running.

Actions:

  1. Check for running Streamlit apps on ports 850*:

    bash
    lsof -nP -iTCP -sTCP:LISTEN 2>/dev/null | grep -i python | awk '{print $2, $9}' | grep ':85' || echo "No Streamlit apps detected on ports 850*"
    
  2. Present findings to user:

    If app is running:

    Found Streamlit app running:
    - PID: [pid] at http://localhost:[port]
    
    Your changes should be visible after a page refresh (Streamlit hot-reloads on file save).
    

    If no app is running:

    No Streamlit app detected on ports 850*.
    
    Would you like me to run the app? I can start it with:
      streamlit run [app_file.py]
    
  3. If user wants to run the app, start it:

    bash
    streamlit run [path/to/app.py] --server.port 8501
    

Stopping Points

  • Step 2: If multiple references seem relevant, ask user which aspect to focus on first
  • Step 4: Ask before starting the Streamlit app

Resources