# agent-toolkit

> agent-toolkit — lucaszhh-agent-toolkit. Use this tool when you need to streamline AI agent development with reusable skills and workflows, or require a custom MCP server for agentic engineering, accepting git inputs and outputting optimized agent configurations. It solves problems related to AI agent design, deployment, and management, providing a flexible interface for integration with various systems. Ideal for use cases involving complex AI workflows and custom server requirements.

Canonical page: https://skillsregistry.net/skills/lucaszhh-agent-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/lucaszhh-agent-toolkit

## Description

Reusable AI agent skills, workflows, and a custom MCP server for agentic engineering.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/lucaszhh/agent-toolkit)

## 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": "lucaszhh-agent-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucaszhh-agent-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucaszhh-agent-toolkit/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