# django-orm-lens

> django-orm-lens — frowningdev-django-orm-lens. Use this tool when you need to analyze and optimize Django models, as it provides a static-analysis server with 5 read-only tools for AI coding agents to improve code quality and performance. It solves problems related to model complexity, data integrity, and query optimization, taking in Django model code as input and outputting actionable insights and recommendations. Ideal for use in development environments where Django models are heavily utilized.

Canonical page: https://skillsregistry.net/skills/frowningdev-django-orm-lens  
JSON: https://api.skillsregistry.net/v1/skills/frowningdev-django-orm-lens

## Description

Static-analysis MCP server for Django models. 5 read-only tools for AI coding agents.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vjrz91hg8o)
- **Repository:** <https://github.com/FROWNINGdev/django-orm-lens>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "frowningdev-django-orm-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/frowningdev-django-orm-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/frowningdev-django-orm-lens/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt