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Natural Language Postgres

Checked
rebyteai-template·vlatest·database

Generates SQL queries from natural language to retrieve, update, and manage data within a PostgreSQL database.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rebyteai-template/rebyte-skills --skill natural-language-postgres -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rebyteai-template

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 rebyteai-template/rebyte-skills at 0062e44684.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 56 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with PostgreSQL databases using natural language. It translates user prompts into SQL queries, executes them against the database, and returns the results in a human-readable format. The agent can retrieve data, filter records, and perform basic calculations directly through conversational commands.

When to use it

  • Data Exploration: Quickly explore a PostgreSQL database without needing to write complex SQL queries manually.
  • Report Generation: Generate simple reports or summaries from database tables based on natural language requests.
  • Automated Data Retrieval: Automate the process of retrieving specific data points for dashboards or other applications.
  • Database Troubleshooting: Use natural language to check table structures and contents during debugging.

Key capabilities

  • Natural Language to SQL translation
  • PostgreSQL database connectivity
  • Data retrieval from tables
  • Filtering of records
  • Human-readable result formatting

Example prompts

  • "Show me all customers in California."
  • "What's the average order value?"
  • "List the top 5 products by sales."

Tips & gotchas

  • Requires a PostgreSQL database connection string to be configured.
  • The skill’s SQL generation capabilities are basic; complex queries may require manual adjustments or alternative approaches.