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Natural Language Postgres Presentation

Checked
eng0ai·vlatest·database

Transforms natural language queries into PostgreSQL code & generates clear, formatted presentation results.

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-presentation -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-presentation/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 you to query a PostgreSQL database using natural language. It translates your plain English requests into SQL queries, executes them against the database, and presents the results in a human-readable format. The agent can retrieve data, filter records, and perform basic calculations directly from your database.

When to use it

  • Ad-hoc reporting: Quickly get answers to specific questions about your data without writing complex SQL queries.
  • Data exploration: Investigate data patterns and trends by phrasing requests in natural language.
  • Simplified data access for non-technical users: Enable users with limited SQL knowledge to interact with the database.
  • Prototyping dashboards: Generate basic visualizations or reports from your data using natural language queries.

Key capabilities

  • Natural Language Processing (NLP) for query understanding
  • SQL query generation
  • PostgreSQL database connectivity
  • Human-readable result presentation

Example prompts

  • "Show me the top 10 customers by total order value."
  • "What's the average price of products in the 'electronics' category?"
  • "List all orders placed last month."

Tips & gotchas

  • Ensure your PostgreSQL database is properly configured and accessible. The skill requires connection details to function correctly.
  • The accuracy of results depends on the clarity and specificity of your natural language prompts.