Prisma Cli logo

Prisma Cli

Organization
prisma
prisma-cli

Prisma ORM 7 CLI reference for existing Prisma 7 applications or explicitly selected Prisma 7 workflows. Covers prisma init, generate, migrate, db, dev, studio, and mcp. For setup, connection repair, or Prisma 8, use prisma-orm-setup; not the Prisma Platform CLI.

Overview

Publisherprisma
Repositoryskills
Skill nameprisma-cli
Stars
66
Forks
7
Bundled files
20
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 20 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by prisma on GitHub. Read the source before you install it.

Installation

Install the Prisma Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/prisma/skills/tree/main/prisma-cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/prisma/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/prisma-cli .claude/skills/prisma-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prisma Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prisma Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prisma Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Prisma ORM 7 CLI reference

These commands and examples apply to Prisma ORM 7 only. For setup, connection repair, or a Prisma 8 application, load prisma-orm-setup.

Use the project's version-matched CLI. Do not install a floating prisma@latest to run these commands.

Boundary: Platform and Compute

Do not confuse the stable ORM command (prisma) with the public-beta Platform package (@prisma/cli, binary prisma-cli). Use prisma-compute for Compute apps and workspace auth, and prisma-postgres-setup for Platform projects and databases.

When to Apply

Reference this skill when:

  • Setting up an explicitly selected Prisma 7 project (prisma init)
  • Generating Prisma Client (prisma generate)
  • Running database migrations (prisma migrate)
  • Managing database state (prisma db push/pull)
  • Using local development database (prisma dev)
  • Debugging Prisma issues (prisma debug)
  • Generating shell completions (prisma complete)

Rule Categories by Priority

PriorityCategoryImpactPrefix
1SetupHIGHinit
2GenerationHIGHgenerate
3DevelopmentHIGHdev
4DatabaseHIGHdb-
5MigrationsCRITICALmigrate-
6UtilityMEDIUMcomplete, studio, validate, format, debug, mcp

Command Categories

CategoryCommandsPurpose
SetupinitInitialize a Prisma project
GenerationgenerateGenerate Prisma Client
Validationvalidate, formatSchema validation and formatting
DevelopmentdevLocal Prisma Postgres for development
Databasedb pull, db push, db seed, db executeDirect database operations
Migrationsmigrate dev, migrate deploy, migrate reset, migrate status, migrate diff, migrate resolveSchema migrations
Utilitycomplete, studio, mcp, version, debugShell, development, and AI tooling

Quick Reference

Project Setup

bash
# Initialize new project (creates prisma/ folder and prisma.config.ts)
prisma init

# Initialize with specific database
prisma init --datasource-provider postgresql
prisma init --datasource-provider mysql
prisma init --datasource-provider sqlite

# Initialize with Prisma Postgres (cloud)
prisma init --db

# Initialize with an example model
prisma init --with-model

Client Generation

bash
# Generate Prisma Client
prisma generate

# Watch mode for development
prisma generate --watch

# Generate specific generator only
prisma generate --generator client

Bun Runtime

When using Bun, always add the --bun flag so Prisma runs with the Bun runtime (otherwise it falls back to Node.js because of the CLI shebang):

bash
bunx --bun prisma init
bunx --bun prisma generate

Local Development Database

bash
# Start local Prisma Postgres
prisma dev

# Start with specific name
prisma dev --name myproject

# Start in background (detached)
prisma dev --detach

# List all local instances
prisma dev ls

# Stop instance
prisma dev stop myproject

# Remove instance data
prisma dev rm myproject

Database Operations

bash
# Pull schema from existing database
prisma db pull

# Push schema to database (no migrations)
prisma db push

# Seed database
prisma db seed

# Execute raw SQL
prisma db execute --file ./script.sql

Migrations (Development)

bash
# Create and apply migration
prisma migrate dev

# Create migration with name
prisma migrate dev --name add_users_table

# Create migration without applying
prisma migrate dev --create-only

# Reset database and apply all migrations
prisma migrate reset

Migrations (Production)

bash
# Apply pending migrations (CI/CD)
prisma migrate deploy

# Check migration status
prisma migrate status

# Compare schemas and generate diff
prisma migrate diff --from-config-datasource --to-schema schema.prisma --script

Utility Commands

bash
# Open Prisma Studio (database GUI)
prisma studio

# Start Prisma's MCP server for AI tools
prisma mcp

# Show version info
prisma version
prisma -v

# Debug information
prisma debug

# Validate schema
prisma validate

# Format schema
prisma format

# Generate shell completion code
prisma complete zsh

AI Safety Checkpoint

Prisma blocks destructive commands when it detects an AI agent until the agent has obtained explicit user consent. This covers migrate reset, db push --force-reset, and db push --accept-data-loss.

  • Explain the exact data-loss impact and ask for consent immediately before running the command.
  • Do not infer consent from earlier or unrelated messages.
  • If automation needs the consent variable, set PRISMA_USER_CONSENT_FOR_DANGEROUS_AI_ACTION to the user's exact consent message. Do not invent the text.
  • The Prisma MCP server deliberately has no migrate-reset tool.

Read references/agent-safety.md before any destructive Prisma command.

Current Prisma CLI Setup

New Configuration File

Use prisma.config.ts for CLI configuration:

typescript
import 'dotenv/config'
import { defineConfig, env } from 'prisma/config'

export default defineConfig({
  schema: 'prisma/schema.prisma',
  migrations: {
    path: 'prisma/migrations',
    seed: 'tsx prisma/seed.ts',
  },
  datasource: {
    url: env('DATABASE_URL'),
  },
})

Current Command Behavior

  • Run prisma generate explicitly after migrate dev, db push, or other schema syncs when you need fresh client output
  • Run prisma db seed explicitly after migrate dev or migrate reset when you need seed data
  • Use prisma db execute --file ... for raw SQL scripts

Environment Variables

Load environment variables explicitly in prisma.config.ts, commonly with dotenv:

typescript
// prisma.config.ts
import 'dotenv/config'

Rule Files

See individual rule files for detailed command documentation:

references/init.md           - Project initialization
references/generate.md       - Client generation
references/dev.md            - Local development database
references/db-pull.md        - Database introspection
references/db-push.md        - Schema push
references/db-seed.md        - Database seeding
references/db-execute.md     - Raw SQL execution
references/migrate-dev.md    - Development migrations
references/migrate-deploy.md - Production migrations
references/migrate-reset.md  - Database reset
references/migrate-status.md - Migration status
references/migrate-resolve.md - Migration resolution
references/migrate-diff.md   - Schema diffing
references/studio.md         - Database GUI
references/mcp.md            - Prisma MCP server
references/complete.md       - Shell completion generation
references/agent-safety.md   - AI consent checkpoint for destructive commands
references/validate.md       - Schema validation
references/format.md         - Schema formatting
references/debug.md          - Debug info

How to Use

Use the command categories above for navigation, then open the specific command reference file you need.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prisma Cli AI skill do?

Prisma ORM 7 CLI reference for existing Prisma 7 applications or explicitly selected Prisma 7 workflows. Covers prisma init, generate, migrate, db, dev, studio, and mcp. For setup, connection repair, or Prisma 8, use prisma-orm-setup; not the Prisma Platform CLI.

Why use Prisma Cli on TypingMind?

Because you install it once and use it with any model. Prisma Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prisma Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prisma/skills/tree/main/prisma-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prisma Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prisma Cli?

As many as you like. As long as a model supports skills, you can use Prisma Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prisma Cli AI skill free?

Yes. It is published on GitHub by prisma under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇