# Arcology Knowledge Node

> Use this tool when you need to design and develop sustainable, large-scale urban infrastructure, such as a mile-high city, by leveraging a collaborative knowledge base that integrates 9 tools and 8 domains. It solves problems related to architectural, engineering, and environmental challenges in megastructure construction, providing a comprehensive framework for planning and development. The Arcology Knowledge Node accepts inputs from various disciplines and outputs actionable insights and designs for efficient, self-sustaining cities.

Canonical page: https://skillsregistry.net/skills/io-github-yourlifewithai-arcology-knowledge-node  
JSON: https://api.skillsregistry.net/v1/skills/io-github-yourlifewithai-arcology-knowledge-node

## Description

Collaborative engineering KB for a mile-high city. 9 tools, 8 domains, 32 entries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-21

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.YourLifewithAI%2Farcology-knowledge-node)
- **Repository:** <https://github.com/YourLifewithAI/Lifewithai.git>

## Use it

MCP endpoint published by the skill: `https://arcology-mcp.fly.dev/mcp`

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": "io-github-yourlifewithai-arcology-knowledge-node"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-yourlifewithai-arcology-knowledge-node` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-yourlifewithai-arcology-knowledge-node/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