Sql Queries
CheckedGenerates SQL queries from natural language descriptions, streamlining database interaction and simplifying complex data retrieval tasks.
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 phuryn/pm-skills --skill sql-queries -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
phuryn
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 phuryn/pm-skills at c68487d721.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c68487d721
- Scanned
- 1 file, 82 lines
About this skill
What it does
This skill allows AI agents to generate and execute SQL queries against a database. It can retrieve specific data based on complex criteria, perform calculations within the query itself, and format results for easy understanding. The agent can also receive feedback and refine its queries iteratively.
When to use it
- Data Extraction: Retrieve customer order history from an e-commerce database.
- Report Generation: Create a report showing monthly sales figures by product category.
- Data Analysis: Identify trends in website traffic data stored in a relational database.
- Database Troubleshooting: Generate queries to identify and diagnose issues within a database schema or populate test data.
Key capabilities
- SQL query generation
- Query execution
- Result formatting
- Iterative refinement based on feedback
Example prompts
- "Write a SQL query to find all customers who placed an order in the last month."
- "Generate a query that calculates the average price of products in the 'electronics' category."
- "Can you create a query to list employees sorted by salary, descending?"
Tips & gotchas
The skill requires access to a database and appropriate credentials. Be mindful of potential security implications when providing database connection details to an AI agent.