Database Query Profiler
ListedHelps with database, querying as part of working with databases and data persistence workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill database-query-profiler -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jeremylongshore
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
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About this skill
What it does
The database-query-profiler skill analyzes SQL queries to identify performance bottlenecks. It provides detailed insights into query execution plans, resource consumption (CPU, I/O), and potential areas for optimization. This allows users to understand why a query is slow and make informed decisions about how to improve its efficiency.
When to use it
- Slow Report Generation: Investigate why generating a specific report takes an unexpectedly long time.
- Database Performance Issues: Diagnose general database slowdowns or performance regressions after code deployments.
- Query Optimization: Identify inefficient SQL queries that could benefit from rewriting or indexing improvements.
- Resource Monitoring: Track the resource usage of critical database operations to ensure efficient utilization.
Key capabilities
- SQL query analysis
- Execution plan visualization
- Resource consumption metrics (CPU, I/O)
- Performance bottleneck identification
Example prompts
- "Profile this SQL query:
SELECT * FROM orders WHERE customer_id = 123;" - "Analyze the performance of the 'generate_daily_sales_report' stored procedure."
- "Show me a breakdown of resource usage for the last hour of queries against the 'products' table."
Tips & gotchas
The skill requires access to the database server and appropriate permissions to execute queries and retrieve execution plans. Results are highly dependent on the specific database system being used (e.g., MySQL, PostgreSQL) as query plan formats vary.