Sql Analysis
CheckedProvides analysis guidance and assistance for working with databases and data persistence.
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 spjoshis/claude-code-plugins --skill sql-analysis -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
spjoshis
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 spjoshis/claude-code-plugins at ddcf16ef7b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- ddcf16ef7b
- Scanned
- 1 file, 103 lines
About this skill
What it does
This skill allows AI agents to analyze SQL queries and database schemas. It can generate explanations of query logic, identify potential performance bottlenecks, and suggest improvements based on best practices. The agent can also extract relevant information from database schemas like table structures and relationships.
When to use it
- Debugging slow queries: Provide a complex SQL query and ask the agent to analyze its performance and suggest optimizations.
- Understanding unfamiliar code: Give the agent an existing SQL query and request a plain-language explanation of what it does.
- Database schema exploration: Ask the agent to describe the tables and relationships within a database schema.
- Learning best practices: Request that the agent review a query and provide feedback on how to improve its efficiency and readability.
Key capabilities
- SQL Query Analysis
- Performance Bottleneck Identification
- Query Optimization Suggestions
- Database Schema Interpretation
Example prompts
- "Analyze this SQL query:
SELECT * FROM orders WHERE customer_id = 123;and suggest improvements." - "Explain what the following SQL query does in plain English:
...complex query here..." - "Describe the tables and relationships in the 'ecommerce' database schema."
Tips & gotchas
The agent requires access to the relevant SQL queries or database schemas to function correctly. Providing clear and well-formatted SQL code will yield more accurate and helpful results.