Sql Optimization Patterns
CheckedHelps with optimization, patterns 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 ajbcoding/claude-skill-eval --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
ajbcoding
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
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.
No undeclared network calls: passed
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.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned ajbcoding/claude-skill-eval at 887808517d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 887808517d
- Scanned
- 1 file, 452 lines
About this skill
What it does
This skill helps optimize SQL queries by suggesting and implementing common optimization patterns. It can analyze poorly performing queries, identify bottlenecks related to indexing, query structure, or data types, and propose solutions like adding indexes, rewriting joins, or using more efficient functions. The goal is to improve query performance and reduce database load.
When to use it
- Slow Query Analysis: When you have a SQL query that takes an unexpectedly long time to execute.
- Performance Tuning: During routine database maintenance to proactively identify and address potential performance issues.
- Complex Joins: When dealing with queries involving multiple tables and complex join conditions.
- Large Datasets: When querying large datasets where even small optimizations can significantly impact execution time.
Key capabilities
- SQL query analysis
- Index suggestion
- Query rewriting
- Data type optimization
- Join optimization
Example prompts
- "Optimize this SQL query:
SELECT * FROM orders WHERE customer_id = 123;" - "I'm getting slow performance on a join between tables 'users' and 'orders'. Can you suggest optimizations?"
- "Analyze the execution plan for this query and recommend improvements: [Paste Query Here]"
Tips & gotchas
- The skill requires access to the SQL query being analyzed. Ensure the AI agent has appropriate permissions or context to provide the query.
- Complex queries might require multiple iterations of analysis and optimization.