connecting-streamlit-to-snowflake
Streamlit Snowflake connection
Connect your Streamlit app to Snowflake the right way.
Use st.connection
Always use st.connection("snowflake") instead of raw connectors.
import streamlit as st
conn = st.connection("snowflake")
# Query data
df = conn.query("SELECT * FROM my_table LIMIT 100")
st.dataframe(df)
Why st.connection:
More from streamlit/agent-skills
developing-with-streamlit
**[REQUIRED]** Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit applications. Also required for building custom components (inline or packaged), using st.components.v2, or any HTML/JS/CSS component work. Triggers: streamlit, st., dashboard, app.py, beautify, style, CSS, color, background, theme, button, widget styling, custom component, st.components, packaged component, pyproject.toml, asset_dir, CCv2, HTML/JS component.
1.2Ktemplate-skill
Replace with description of the skill and when to use it.
108building-streamlit-chat-ui
Building chat interfaces in Streamlit. Use when creating conversational UIs, chatbots, or AI assistants. Covers st.chat_message, st.chat_input, message history, and streaming responses.
5using-streamlit-session-state
Using st.session_state to manage state across Streamlit reruns. Use when persisting data, handling widget state, implementing callbacks, or debugging state issues. Covers initialization patterns, widget-state association, and common gotchas.
3creating-streamlit-themes
Creating and customizing Streamlit themes. Use when changing app colors, fonts, or appearance, or aligning apps to brand guidelines. Covers config.toml configuration, design principles, and CSS avoidance.
3organizing-streamlit-code
Organizing Streamlit code for maintainability. Use when structuring apps with separate modules and utilities. Covers separation of concerns, keeping UI code clean, and import patterns.
3