DataModelLM

DataModelLM is a Data skill for Claude Code, published by nimbalyst in nimbalyst.

1.5K stars212 forkson nimbalyst/nimbalystAdded 2026/08/19+3% in starsRepository updated 2026/08/19

agentic-aiai-agentsclaude-codecodexcoding-agentdeveloper-toolsidemarkdown-editormcpmulti-agent-systemsopencodewysiwyg-editor

Install in seconds

Install DataModelLM

Copy DataModelLM into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/nimbalyst/nimbalyst/tree/main/packages/extensions/datamodellm/claude-plugin/skills/datamodellm ~/.claude/skills/datamodellm

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/nimbalyst/nimbalyst.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: packages/extensions/datamodellm/claude-plugin/skills/datamodellm/SKILL.md in nimbalyst/nimbalyst
Installs to: ~/.claude/skills/datamodellm
Collection: One of 7 skills cataloged from this repository
Category: Data — 668 skills

What DataModelLM does

DataModelLM creates visual data models for database schemas using the Prisma format with an entity-relationship canvas. Use it when designing database schemas, ERDs, or planning data models for applications.

DataModelLM is cataloged under Data on DirSkills. DataModelLM comes from a repository tagged agentic-ai, ai-agents, claude-code, codex and coding-agent.

Documentation

README

Excerpt

DataModelLM - Visual Data Modeling

DataModelLM is Nimbalyst's visual editor for creating database schemas using Prisma format. It displays entity-relationship diagrams with a visual canvas.

When to Use DataModelLM

Designing database schemas
Creating entity relationship diagrams (ERDs)
Planning data models for applications
Working with Prisma schemas
Any visual data modeling task

File Format

Extension: .prisma
Format: Prisma schema with special metadata header
Location: Any directory (commonly workspace root or models/, schema/)

Required Header

Every DataModelLM file MUST start with a @nimbalyst metadata comment:

// @nimbalyst {"viewport":{"x":0,"y":0,"zoom":1},"positions":{},"entityViewMode":"standard"}

This is the opening of the README. Read the full README on GitHub.

Frequently asked about DataModelLM

What else does nimbalyst publish alongside DataModelLM?
DataModelLM is one of 7 skills that DirSkills catalogs from nimbalyst/nimbalyst, the repository it ships in. Its siblings there include Excalidraw, Feedback Intake and Git Commit. Each one is a separate skill with its own page in this directory, installs the same way DataModelLM does, and is maintained by nimbalyst in that same repository. The rest of the collection is listed on the nimbalyst/nimbalyst page.
How does DataModelLM compare to other Data skills?
DataModelLM ranks #386 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of DataModelLM against them. Open each page to compare what they document and how they install.