# claude-code-camp-2026-Q2

> claude-code-camp-2026-Q2 — ultraman-labs-claude-code-camp-2026-q2. Use this tool when you need to build AI agents from scratch, requiring a foundational understanding of systems architecture, MUD agents, and MCP. It solves problems related to AI development, deployment, and integration, providing a comprehensive framework for building intelligent systems. With git as its primary interface, it takes in code repositories and outputs functional AI agents.

Canonical page: https://skillsregistry.net/skills/ultraman-labs-claude-code-camp-2026-q2  
JSON: https://api.skillsregistry.net/v1/skills/ultraman-labs-claude-code-camp-2026-q2

## Description

Building AI agents from first principles through the Claude Code Camp 2026 Q2, including MUD agents, MCP, and systems architecture.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ultraman-labs/claude-code-camp-2026-Q2)

## 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": "ultraman-labs-claude-code-camp-2026-q2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ultraman-labs-claude-code-camp-2026-q2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ultraman-labs-claude-code-camp-2026-q2/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