snowflake-known-pitfalls
FeaturedIdentify and avoid Snowflake anti-patterns and common mistakes in SQL, warehouse management, data loading, and access control. Use when reviewing Snowflake configurations, onboarding new users, or auditing existing Snowflake deployments for best practices. Trigger with phrases like "snowflake mistakes", "snowflake anti-patterns", "snowflake pitfalls", "snowflake what not to do", "snowflake code review".
Install
Quality Score: 99/100
Skill Content
Details
- Author
- jeremylongshore
- Repository
- jeremylongshore/claude-code-plugins-plus-skills
- Created
- 7 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
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".
snowflake-advanced-troubleshooting
Apply advanced Snowflake debugging with query profiling, spill analysis, lock contention, and performance deep-dives using ACCOUNT_USAGE views. Use when standard troubleshooting fails, investigating slow queries, or diagnosing warehouse performance issues. Trigger with phrases like "snowflake hard bug", "snowflake slow query debug", "snowflake query profile", "snowflake spilling", "snowflake deep debug".
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snowflake-architecture-variants
Choose and implement Snowflake architecture blueprints: data lakehouse, data mesh, data sharing, and Snowpark-native patterns for different scales. Use when designing Snowflake data platforms, choosing between architectures, or implementing data sharing and Snowpark patterns. Trigger with phrases like "snowflake architecture", "snowflake lakehouse", "snowflake data mesh", "snowflake data sharing", "snowflake Snowpark".
snowflake-development
Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.