skills/streamlit/agent-skills/developing-with-streamlit

developing-with-streamlit

SKILL.md

Developing with Streamlit

This is a routing skill that directs you to specialized sub-skills 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)
  • Deploying Streamlit apps (locally or to Snowflake)
  • 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", "deploy"

Workflow

Step 1: Locate the Streamlit source code
Step 2: Identify task type and load appropriate sub-skill(s)
Step 3: Apply guidance from sub-skill 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:

    find . -name "*.py" -type f | xargs grep -l "import streamlit\|from streamlit" 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 Sub-Skill

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

Use this routing table to select sub-skill(s). Always read the sub-skill file before making changes:

User Need Sub-skill to Read
Performance issues, slow apps, caching read skills/optimizing-streamlit-performance/SKILL.md
Building a dashboard with KPIs/metrics read skills/building-streamlit-dashboards/SKILL.md
Improving visual design, icons, polish read skills/improving-streamlit-design/SKILL.md
Choosing widgets (selectbox vs radio vs pills) read skills/choosing-streamlit-selection-widgets/SKILL.md
Styling widgets (button colors, backgrounds, CSS) read skills/creating-streamlit-themes/SKILL.md
Layouts (columns, tabs, sidebar, containers) read skills/using-streamlit-layouts/SKILL.md
Displaying data (dataframes, charts) read skills/displaying-streamlit-data/SKILL.md
Multi-page app architecture read skills/building-streamlit-multipage-apps/SKILL.md
Session state and callbacks read skills/using-streamlit-session-state/SKILL.md
Markdown, colored text, badges read skills/using-streamlit-markdown/SKILL.md
Custom themes and colors read skills/creating-streamlit-themes/SKILL.md
Comprehensive theme design and brand alignment read skills/creating-streamlit-themes/SKILL.md
Chat interfaces and AI assistants read skills/building-streamlit-chat-ui/SKILL.md
Connecting to Snowflake read skills/connecting-streamlit-to-snowflake/SKILL.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 skills/building-streamlit-custom-components-v2/SKILL.mdIMPORTANT: st.components.v1 is deprecated. Never use v1 for new components; always use st.components.v2.component().
Third-party components read skills/using-streamlit-custom-components/SKILL.md
Code organization read skills/organizing-streamlit-code/SKILL.md
Environment setup read skills/setting-up-streamlit-environment/SKILL.md
CLI commands read skills/using-streamlit-cli/SKILL.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 sub-skill (skills/building-streamlit-custom-components-v2/SKILL.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. skills/improving-streamlit-design/SKILL.md
  2. skills/using-streamlit-layouts/SKILL.md
  3. skills/choosing-streamlit-selection-widgets/SKILL.md

For building a dashboard, read:

  1. skills/building-streamlit-dashboards/SKILL.md
  2. skills/displaying-streamlit-data/SKILL.md

IMPORTANT - Use templates:

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

  • If a template closely matches the request, copy it and adapt:
    • dashboard-metrics / dashboard-metrics-snowflake — KPI cards with time-series charts
    • dashboard-companies — company/entity comparison
    • dashboard-compute / dashboard-compute-snowflake — resource/credit monitoring
    • dashboard-feature-usage — feature adoption tracking
    • dashboard-seattle-weather — public dataset exploration (local only)
    • dashboard-stock-peers / dashboard-stock-peers-snowflake — 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 templates/apps/README.md for template descriptions

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

  • Check templates/apps/ for caching patterns, layout structure, and Snowflake integration
  • Apply consistent patterns from templates to improve the existing code

When applying a custom theme, use a template from templates/themes/:

  • Copy a theme directory (snowflake, dracula, nord, stripe, solarized-light, spotify, github, minimal)
  • Themes use Google Fonts for easy setup
  • See templates/themes/README.md for theme previews

For performance optimization, read:

  1. skills/optimizing-streamlit-performance/SKILL.md

Step 3: Apply Guidance to Edit Code

Goal: Make changes to the Streamlit app following sub-skill best practices.

Actions:

  1. Apply the patterns and recommendations from the loaded sub-skill(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*:

    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:

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

Stopping Points

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

Skill map

Skill Covers
building-streamlit-chat-ui Chat interfaces, streaming responses, message history
building-streamlit-dashboards KPI cards, metrics, dashboard layouts
building-streamlit-multipage-apps Page structure, navigation, shared state
building-streamlit-custom-components-v2 Streamlit Custom Components v2 (inline and template-based packaged), bidirectional state/trigger callbacks, bundling, theme CSS variables
choosing-streamlit-selection-widgets Selectbox vs radio vs segmented control vs pills vs multiselect
connecting-streamlit-to-snowflake st.connection, query caching, credentials
creating-streamlit-themes Theme configuration, colors, fonts, light/dark modes, professional brand alignment, CSS avoidance
displaying-streamlit-data Dataframes, column config, charts
improving-streamlit-design Icons, badges, colored text, visual polish
optimizing-streamlit-performance Caching, fragments, forms, static vs dynamic widgets
organizing-streamlit-code When to split into modules, separating UI from logic
setting-up-streamlit-environment Python environment, dependency management
using-streamlit-custom-components Third-party components from the community
using-streamlit-cli CLI commands, running apps
using-streamlit-layouts Sidebar, columns, containers, tabs, expanders, dialogs, alignment, spacing
using-streamlit-markdown Colored text, badges, icons, LaTeX, and all markdown features
using-streamlit-session-state Session state, widget keys, callbacks, state persistence

Resources

Weekly Installs
428
GitHub Stars
117
First Seen
Jan 26, 2026
Installed on
opencode367
gemini-cli350
codex336
github-copilot328
kimi-cli299
amp295