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Prisma Database Modelling

Checked
madsnyl·vlatest·database

Helps with Prisma ORM, database 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 madsnyl/t3-template --skill prisma-database-modelling -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

madsnyl

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 madsnyl/t3-template at 06d546e1e1.

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

Commit
06d546e1e1
Manifest
.claude/skills/model/SKILL.md
Scanned
1 file, 127 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 enables AI agents to define and manage database models using Prisma schema language. It allows for creating, updating, and querying database schemas based on natural language instructions or structured requests. The agent can generate Prisma schema files and perform basic validation of these schemas.

When to use it

  • Rapid prototyping: Quickly set up a database schema for a new application without manual coding.
  • Database migrations: Generate migration scripts based on changes requested in natural language.
  • Schema documentation: Create or update Prisma schema files from existing data models.
  • Learning Prisma: Experiment with Prisma schema language and generate example schemas.

Key capabilities

  • Prisma schema generation
  • Prisma schema validation
  • Database model creation
  • Migration script generation

Example prompts

  • "Create a Prisma model for a 'Product' with fields: id, name, price, description."
  • "Generate a migration to add an index on the 'email' field of the 'User' model."
  • "Validate this Prisma schema and report any errors: [schema content]"

Tips & gotchas

  • Requires familiarity with database modeling concepts.
  • The agent’s understanding of complex relationships might be limited; review generated schemas carefully.