# dejank

> dejank — ranjithkumarseekolu-dejank. Use this tool when you need to debug and diagnose issues in a live React Native app, as it provides hands-on control for AI agents to simulate UI interactions, capture screenshots, and analyze performance metrics. It solves problems related to app testing, debugging, and performance optimization by providing detailed insights into UI/component trees, native logs, and JS/React profiling. It accepts inputs such as UI tap commands and returns outputs like screenshots and performance metrics, making it ideal for use cases where automated testing and debugging are required.

Canonical page: https://skillsregistry.net/skills/ranjithkumarseekolu-dejank  
JSON: https://api.skillsregistry.net/v1/skills/ranjithkumarseekolu-dejank

## Description

An MCP server that gives AI agents hands-on control of a live React Native app, enabling UI taps, screenshots, UI/component trees, native logs, and JS/React profiling to debug, verify fixes, and diagnose performance issues.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jvidjtx8i6)
- **Repository:** <https://github.com/RanjithKumarSeekolu/dejank>

## 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": "ranjithkumarseekolu-dejank"
    }
  }
}
```

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