Query Optimization
CheckedHelps with querying, 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 josiahsiegel/claude-plugin-marketplace --skill query-optimization -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
josiahsiegel
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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
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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 josiahsiegel/claude-plugin-marketplace at 5a1b1123b9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 5a1b1123b9
- Scanned
- 3 files, 642 lines
About this skill
What it does
This skill provides a comprehensive guide to T-SQL query optimization techniques, enabling AI agents to analyze and improve database queries. It focuses on identifying non-SARGable patterns, understanding join type performance characteristics, and utilizing query hints for enhanced efficiency. The goal is to help agents generate more performant SQL queries within agent workflows.
When to use it
- When an AI agent needs to optimize existing T-SQL queries for improved performance.
- When designing new database queries and needing guidance on SARGable patterns.
- To understand the tradeoffs between different join types (Nested Loop, Merge Join, Hash Join).
- When troubleshooting slow query execution times and identifying potential bottlenecks.
Key capabilities
- SARGability Identification: Distinguishes between SARGable (index-seeking) and non-SARGable query patterns with examples.
- Join Type Performance Analysis: Provides a comparison of Nested Loop, Merge Join, and Hash Join types, outlining their best use cases and characteristics.
- Query Hint Reference: Offers a quick reference guide to T-SQL query hints for controlling compilation, optimization, parallelism, and data access.
- Implicit Conversion Awareness: Highlights the importance of avoiding implicit data type conversions in queries.
Example prompts
- "Can you rewrite this SQL query to be more SARGable?" [followed by a non-SARGable query]
- "What are the performance characteristics of a Nested Loop join compared to a Hash Join?"
- "How can I use query hints to limit parallelism in my T-SQL query?"
Tips & gotchas
- This skill focuses specifically on T-SQL query optimization.
- Understanding database indexes is crucial for effectively applying the techniques described within this guide.
- Be mindful of potential dirty reads when using
WITH (NOLOCK).