# im_builder_v2

> Use this tool when you need to automate image building processes, solving problems such as version control and consistency across deployments. It takes input from git repositories and outputs built images, providing a streamlined interface for development and deployment workflows. Ideal for use cases requiring repeatable and reliable image construction, such as continuous integration and delivery pipelines.

Canonical page: https://skillsregistry.net/skills/rickjoosten-im-builder-v2  
JSON: https://api.skillsregistry.net/v1/skills/rickjoosten-im-builder-v2

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/RickJoosten/im_builder_v2)
- **Repository:** <https://github.com/RickJoosten/IM_Builder>

## 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": "rickjoosten-im-builder-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rickjoosten-im-builder-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rickjoosten-im-builder-v2/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