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Mongodb Schema Generator

Checked
ehtbanton·vlatest·database

Helps with MongoDB, schema design as part of working with databases and data persistence workflows.

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 ehtbanton/claudeskillsrepo --skill mongodb-schema-generator -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

ehtbanton

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 ehtbanton/claudeskillsrepo at e004300e6e.

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

Commit
e004300e6e
Manifest
mongodb-schema-generator/SKILL.md
Scanned
2 files, 140 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 generates MongoDB schemas based on a provided description. It can create schema definitions including field names, data types (like string, number, boolean, date), and constraints like required fields or unique indexes. The generated schemas are designed to be directly usable within MongoDB environments for defining collections and their structure.

When to use it

  • Rapid Prototyping: Quickly generate a basic schema when starting a new MongoDB project without manually designing the data structures.
  • Schema Evolution: Create updated schemas based on changing requirements or feedback, streamlining database modifications.
  • Documentation Generation: Automatically produce schema documentation from your existing application logic.
  • Data Modeling Assistance: Get suggestions for appropriate field types and constraints when defining new data models.

Key capabilities

  • Generates MongoDB schema definitions.
  • Supports various data types (string, number, boolean, date).
  • Handles required fields.
  • Creates unique index specifications.

Example prompts

  • "Generate a MongoDB schema for a 'products' collection with fields: name (string, required), price (number), and description (string)."
  • "Create a schema for an 'orders' collection including customer ID (string, required), order date (date), and items (array of strings)."
  • “Generate a MongoDB schema for users, including email (string, unique, required) and password (string).”

Tips & gotchas

The quality of the generated schema depends heavily on the clarity and detail provided in the description. Be specific about field types and constraints to get the most accurate results.