Optimizing Query Performance
CheckedHelps with querying, performance optimization as part of agent workflows 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 djankies/claude-configs --skill optimizing-query-performance -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
djankies
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 djankies/claude-configs at a82763a6e7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- a82763a6e7
- Scanned
- 6 files, 552 lines
About this skill
What it does
This skill analyzes and refines database queries to improve their performance. It identifies inefficient query structures, suggests optimized alternatives (such as indexing or rewriting joins), and provides explanations for the changes made. The goal is to reduce query execution time and resource consumption.
When to use it
- You're experiencing slow response times from a database-driven application.
- A complex SQL query is taking an unexpectedly long time to execute.
- Database server resources (CPU, memory) are consistently high during peak usage.
- You need to optimize queries for large datasets or frequent access.
Key capabilities
- SQL query analysis
- Query optimization suggestions
- Indexing recommendations
- Join rewriting
Example prompts
- "Can you analyze this SQL query and suggest improvements:
SELECT * FROM orders WHERE customer_id = 123 AND order_date > '2023-01-01'?" - "This query is slow. What can I do to optimize it?
...complex query string..." - "Suggest indexes for this table schema:
CREATE TABLE users (id INT, name VARCHAR(255), email VARCHAR(255));"
Tips & gotchas
The skill requires a valid SQL query as input. It may not be effective with non-SQL query languages or data retrieval methods.