# Deja

> Deja — rajnandini6004-deja. Use this tool when you need to view DjVu files on macOS with high-performance rendering. It solves the problem of efficiently displaying DjVu files with native support, taking input files in DjVu format and outputting rendered views. Ideal for users who work with DjVu files and require a reliable, high-performance viewer on macOS.

Canonical page: https://skillsregistry.net/skills/rajnandini6004-deja  
JSON: https://api.skillsregistry.net/v1/skills/rajnandini6004-deja

## Description

View DjVu files on macOS with native high-performance rendering powered by a pure Rust core and Metal.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Rajnandini6004/Deja)

## 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": "rajnandini6004-deja"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rajnandini6004-deja` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rajnandini6004-deja/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