This skill helps you develop, test, and deploy Streamlit data apps on Snowflake with best practices for structure, testing, and production readiness.
npx playbooks add skill sfc-gh-dflippo/snowflake-dbt-demo --skill streamlit-development
The Streamlit Development skill enables developers to create, test, and deploy Streamlit data apps on Snowflake, following best practices for structure, testing, and production readiness. This skill connects Streamlit apps to Snowflake, allowing for robust and scalable data application development. Developers would use this skill when building data-intensive applications that require a streamlined development and deployment process.
This compact 22-word instruction set is purpose-built for testing & qa work in AI coding agents. Install with a single command.
This skill helps you develop, test, and deploy Streamlit data apps on Snowflake with best practices for structure, testing, and production readiness.
Streamlit Development is a free testing & qa skill for AI coding agents. This skill helps you develop, test, and deploy Streamlit data apps on Snowflake with best practices for structure, testing, and production readiness.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill sfc-gh-dflippo/snowflake-dbt-demo --skill streamlit-development in your terminal to install Streamlit Development into your Claude Code session. It works immediately after installation.
Streamlit Development is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Streamlit Development is completely free and open source. The full source is available on GitHub at https://github.com/sfc-gh-dflippo/snowflake-dbt-demo/tree/main/.claude/skills/streamlit-development. You only need a subscription to the AI agent you use it with.
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