# insideout-examples

> insideout-examples — luthersystems-insideout-examples. Use this tool when you need to design, price, and deploy cloud infrastructure using the InsideOut AI agent, and require sample projects and reference implementations to guide the process. It provides example use cases and reference code to help solve infrastructure planning and deployment problems. Input includes access to git repositories, and output includes optimized cloud infrastructure designs and deployment plans.

Canonical page: https://skillsregistry.net/skills/luthersystems-insideout-examples  
JSON: https://api.skillsregistry.net/v1/skills/luthersystems-insideout-examples

## Description

InsideOut examples — sample projects and reference implementations showing how to use the InsideOut AI agent for cloud infrastructure design, pricing, and deployment.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/luthersystems/insideout-examples)

## 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": "luthersystems-insideout-examples"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luthersystems-insideout-examples` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luthersystems-insideout-examples/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