# agentup

> agentup — lukasb3863-agentup. Use this tool when you need to enhance your AI coding assistant with production-ready design patterns and best practices. It solves problems of inefficient and unscalable code by providing curated guidance on architecture and development. Ideal for use with git, agentup takes in AI-generated code and outputs refined, production-ready solutions.

Canonical page: https://skillsregistry.net/skills/lukasb3863-agentup  
JSON: https://api.skillsregistry.net/v1/skills/lukasb3863-agentup

## Description

Enhance your AI coding assistant by injecting curated design patterns, best practices, and architecture guidance for production-ready code.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/lukasb3863/agentup)

## 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": "lukasb3863-agentup"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lukasb3863-agentup` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lukasb3863-agentup/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