Sql Optimization Patterns
CheckedHelps with optimization, patterns as part of working with databases and data persistence workflows.
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Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add rmyndharis/antigravity-skills --skill sql-optimization-patterns -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
rmyndharis
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
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Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
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Pinned to a commit: passed
Scanned rmyndharis/antigravity-skills at 3eff4af253.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3eff4af253
- Scanned
- 2 files, 499 lines
About this skill
What it does
This skill provides AI agents with a library of SQL optimization patterns. It helps identify and apply common techniques to improve query performance, such as indexing strategies, rewriting queries for efficiency, and analyzing execution plans. The goal is to reduce database load and improve application responsiveness by optimizing SQL code.
When to use it
- When troubleshooting slow-running reports or dashboards that rely on complex SQL queries.
- During the development of new features involving database interactions where performance is critical.
- To proactively review existing SQL codebases for potential optimization opportunities.
- When dealing with large datasets and needing to minimize query execution time.
Key capabilities
- Identification of inefficient SQL patterns.
- Suggestion of appropriate indexing strategies.
- Query rewriting recommendations.
- Analysis of query execution plans.
Example prompts
- "Analyze this SQL query:
SELECT * FROM orders WHERE customer_id = 123 AND order_date > '2023-01-01'and suggest optimizations." - "I'm seeing slow performance on a report that joins the
customersandorderstables. Can you recommend any indexing strategies?" - “Explain how to optimize this query for speed:
SELECT COUNT(*) FROM products WHERE price > 100”
Tips & gotchas
This skill requires access to the SQL queries being analyzed, ideally within a development or testing environment. The effectiveness of the recommendations depends on the complexity of the database schema and the specific workload.