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Data Model Creation

Checked
tencentcloudbase·vlatest·database·MIT

Helps with data, data modeling, creation 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 tencentcloudbase/skills --skill data-model-creation -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

tencentcloudbase

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 tencentcloudbase/skills at 6e7aeb73c1.

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

Commit
6e7aeb73c1
Manifest
skills/data-model-creation/SKILL.md
Scanned
1 file, 187 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

The data-model-creation skill enables AI agents to design and generate database schemas based on user input. It supports defining relationships, fields, and constraints for relational or NoSQL databases, making it ideal for developers setting up new projects or refining existing ones.

When to use it

  • You need to create a database schema from scratch for a new application.
  • You want to convert an existing data structure into a formal database model.
  • Your team is migrating data between different database systems and needs a structured mapping.
  • You're prototyping and require quick, accurate database models for testing.

Key capabilities

  • Generates relational or NoSQL schema definitions
  • Maps user-defined entities and relationships
  • Supports common database types (e.g., MySQL, MongoDB)
  • Provides validation rules for data integrity

Example prompts

  • "Create a database model for an e-commerce platform with users, products, and orders."
  • "Convert this JSON structure into a relational database schema."
  • "Design a NoSQL model for storing user activity logs."

Tips & gotchas

  • Ensure your input includes clear definitions of entities and relationships to get accurate results.
  • While the skill supports multiple databases, you may need to manually adjust generated models for specific system requirements.