Snowflake Query Profiler
From the author
Profiles and optimizes Snowflake SQL queries using the Snowflake Information Schema and Query History views. Identifies warehouse sizing issues, scanning inefficiencies, and recommends clustering keys.
Install
npx skills add agentskillexchange/skills --skill 'Snowflake Query Profiler' -a claude-code
Installs to .claude/skills/Snowflake-Query-Profiler/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Similar skills
Closest to this one by what they do and when they are used.
- optimizing-query-by-idAltimateAI/data-engineering-skillsOptimizes Snowflake query performance using query ID from history. Use when optimizing Snowflake queries for: (1) User provides a Snowflake query_id (UUID format) to analyze or optimize (2) Task mentions "slow query", "optimize", "query history", or "query profile" with a query ID (3) Analyzing query performance metrics - bytes scanned, spillage, partition pruning (4) User references a previously run query that needs optimization Fetches query profile, identifies bottlenecks, returns optimized SQL with expected improvements.Data★ 129
- snowflake-developmentborghei/Claude-SkillsThis skill should be used when the user asks to "optimize Snowflake queries", "analyze Snowflake SQL performance", "size Snowflake warehouses", "review Snowflake data models", or "troubleshoot Snowflake cost issues".Data★ 978
- optimizing-query-textAltimateAI/data-engineering-skillsOptimizes Snowflake SQL query performance from provided query text. Use when optimizing Snowflake SQL for: (1) User provides or pastes a SQL query and asks to optimize, tune, or improve it (2) Task mentions "slow query", "make faster", "improve performance", "optimize SQL", or "query tuning" (3) Reviewing SQL for performance anti-patterns (function on filter column, implicit joins, etc.) (4) User asks why a query is slow or how to speed it upData★ 129
- snowflake-data-engineeringMindrally/skillsBest practices for Snowflake SQL, semi-structured data, and data pipelines built with Dynamic Tables, Streams, Tasks, and Snowpipe. Use when writing Snowflake SQL, designing ingestion or transformation pipelines, tuning warehouse performance and cost, or working with Time Travel, cloning, RBAC, or Iceberg tables on Snowflake.Data★ 286
- snowflake-native-pipelines-and-governancevaquarkhan/data-engineering-agent-skillsGuides agents through Snowflake-native pipeline and governance workflows. Use when building or reviewing Snowflake pipelines with Streams, Tasks, Dynamic Tables, Snowpipe, Snowpark, masking policies, row access, secure sharing, and warehouse-native operational controls.Data★ 59
- finding-expensive-queriesAltimateAI/data-engineering-skillsFinds and ranks expensive Snowflake queries by cost, time, or data scanned. Use when: (1) User asks to find slow, expensive, or problematic queries (2) Task mentions "query history", "top queries", "most expensive", or "slowest queries" (3) Analyzing warehouse costs or identifying optimization candidates (4) Finding queries that scan the most data or have the most spillage Returns ranked list of queries with metrics and optimization recommendations.Data★ 129
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