# zenku-v2

> zenku-v2 — antonylu0826-zenku-v2. Use this tool when you need to build production-ready data apps quickly without coding, and want to leverage conversational AI to streamline the process. It solves problems such as rapid prototyping, data integration, and app development, supporting various databases like SQLite, Postgres, and MSSQL. With a Multi-Agent architecture and dynamic UI rendering, it provides a robust interface for building custom data apps via conversation, with features like Undo/Time-Machine and git support.

Canonical page: https://skillsregistry.net/skills/antonylu0826-zenku-v2  
JSON: https://api.skillsregistry.net/v1/skills/antonylu0826-zenku-v2

## Description

AI-first No-Code engine for building production-ready data apps via conversation. Features Multi-Agent architecture, dynamic UI rendering, and built-in Undo/Time-Machine. Supports SQLite, Postgres, and MSSQL.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/antonylu0826/zenku-v2)

## 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": "antonylu0826-zenku-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/antonylu0826-zenku-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/antonylu0826-zenku-v2/pull`

---
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