Sql Expert
CheckedThis SQL Expert skill generates complex SQL queries from natural language descriptions, streamlining database interactions and boosting developer efficiency.
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 questfortech-investments/claude-code-skills --skill sql-expert -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
questfortech-investments
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 questfortech-investments/claude-code-skills at 9d04eec1e7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9d04eec1e7
- Manifest
- sql-expert/SKILL.md
- Scanned
- 11 files, 2,795 lines
About this skill
What it does
This skill enables AI agents to write, optimize, and execute SQL queries directly within database environments. It handles complex data manipulation tasks including joins, aggregations, and schema interactions across various relational database systems.
When to use it
- Extracting specific customer records based on multiple filtering criteria like date ranges and transaction amounts.
- Generating summary reports that aggregate sales data by region or product category using GROUP BY clauses.
- Modifying existing database schemas by creating new tables, adding columns, or updating foreign key constraints.
- Debugging slow-performing queries by analyzing execution plans and rewriting inefficient logic.
Key capabilities
- Writing standard SQL syntax for SELECT, INSERT, UPDATE, and DELETE operations.
- Executing complex joins across multiple related tables to retrieve unified datasets.
- Performing data aggregation with functions like SUM, AVG, COUNT, and MIN/MAX.
- Interacting with diverse database engines including PostgreSQL, MySQL, and SQLite.
Example prompts
- "Write a query to find all users who have made purchases over $500 in the last 30 days."
- "Create a new table called 'audit_log' with columns for timestamp, user_id, and action_type."
- "Optimize this slow query that joins five tables together to reduce execution time."
Tips & gotchas
Ensure your AI agent has read/write permissions on the target database before attempting schema modifications or data updates. Always validate generated queries against a test environment first to prevent accidental data loss in production systems.