snowflake-hello-world
Create a minimal working Snowflake example with real SQL queries. Use when testing your Snowflake setup, running first queries, or learning basic snowflake-sdk and snowflake-connector-python patterns. Trigger with phrases like "snowflake hello world", "snowflake example", "snowflake quick start", "first snowflake query". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill snowflake-hello-world --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Snowflake Hello World ## Overview Minimal working examples demonstrating core Snowflake operations: connect, query, create objects, load data. ## Prerequisites - Completed `snowflake-install-auth` setup - Valid credentials configured in environment - A warehouse available (e.g., `COMPUTE_WH`) ## Instructions ### Step 1: Connect and Query (Node.js) ```typescript // hello-snowflake.ts import snowf
What does the snowflake-hello-world skill do?
Create a minimal working Snowflake example with real SQL queries. Use when testing your Snowflake setup, running first queries, or learning basic snowflake-sdk and snowflake-connector-python patterns. Trigger with phrases like "snowflake hello world", "snowflake example", "snowflake quick start", "first snowflake query". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill snowflake-hello-world --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
