# Megastructure Arc

> Use this tool when you need to manage coding tasks and collaborations efficiently, as Arc provides a local coordination hub with durable shared memory, task management, and seamless handoffs. It solves problems of data consistency, task organization, and team coordination, making it ideal for coding projects that require multiple agents or collaborators. Arc's desktop app interface allows for easy input and output of tasks, data, and project updates, streamlining coding workflows and enhancing productivity.

Canonical page: https://skillsregistry.net/skills/ai-megastructure-arc  
JSON: https://api.skillsregistry.net/v1/skills/ai-megastructure-arc

## Description

Local hub your coding agents sign into: rooms, tasks, decisions, artifacts, memory. Desktop app.

## Trust

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

## Facts

- **Version:** 0.6.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.megastructure%2Farc)

## 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": "ai-megastructure-arc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-megastructure-arc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-megastructure-arc/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