Skip to content
TrustedSkillsbeta
Back to all skills

Natural Language Postgres

Checked
eng0ai·vlatest·database

Translate natural language queries into PostgreSQL SQL code for data retrieval and manipulation.

Repository

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

eng0ai

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 eng0ai/eng0-template-skills at 0062e44684.

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

Commit
0062e44684
Manifest
natural-language-postgres/SKILL.md
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 requests expressed in plain English into SQL queries, executes them against the database, and returns the results in a human-readable format. This eliminates the need for users to learn complex SQL syntax directly.

When to use it

  • Data Exploration: Quickly retrieve information from a PostgreSQL database without writing SQL code. For example, finding all customers who live in California.
  • Report Generation: Generate simple reports by asking questions like "Show me the total sales for each product category."
  • Database Administration (limited): Perform basic administrative tasks such as listing tables or checking database status, though more complex operations may require direct SQL.
  • Prototyping: Rapidly test and prototype data-driven applications by leveraging natural language interactions with a PostgreSQL backend.

Key capabilities

  • Natural Language to SQL Translation
  • PostgreSQL Database Interaction
  • Human-Readable Result Formatting
  • Basic database administration tasks (listing tables, checking status)

Example prompts

  • "What are the names of all products costing more than $50?"
  • "Show me the total number of orders placed last month."
  • "List all available tables in the database."

Tips & gotchas

  • The skill's accuracy depends on the clarity and specificity of your prompts. Ambiguous requests may lead to unexpected results.
  • Currently, complex SQL operations or advanced database features might not be supported through natural language.