snowflake-common-errors
Diagnose and fix common Snowflake errors and SQL compilation failures. Use when encountering Snowflake error codes, failed queries, authentication issues, or warehouse/connection problems. Trigger with phrases like "snowflake error", "fix snowflake", "snowflake not working", "snowflake SQL error", "snowflake 002003". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill snowflake-common-errors --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 Common Errors ## Overview Quick reference for the most common Snowflake error codes, SQL compilation errors, and driver issues with real solutions. ## Error Reference ### 002003 (42S02): Object Does Not Exist ``` SQL compilation error: Object 'MY_DB.MY_SCHEMA.USERS' does not exist or not authorized. ``` **Causes:** Table doesn't exist, wrong database/schema context, or role lacks privi
What does the snowflake-common-errors skill do?
Diagnose and fix common Snowflake errors and SQL compilation failures. Use when encountering Snowflake error codes, failed queries, authentication issues, or warehouse/connection problems. Trigger with phrases like "snowflake error", "fix snowflake", "snowflake not working", "snowflake SQL error", "snowflake 002003". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill snowflake-common-errors --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.
