# cheaplane

> cheaplane — millennialdreamer-cheaplane. Use this tool when you need to optimize AI agent workflows by offloading repetitive tasks, such as data formatting and translation, to more affordable models while maintaining premium agent performance and security. Cheaplane auto-routes tasks to suitable models, ensuring efficient processing and minimizing costs. It is ideal for applications requiring high-volume data processing, summarization, and translation, with separate process execution to safeguard API credentials and subscription sessions.

Canonical page: https://skillsregistry.net/skills/millennialdreamer-cheaplane  
JSON: https://api.skillsregistry.net/v1/skills/millennialdreamer-cheaplane

## Description

Delegates replaceable grunt work (boilerplate, formatting, translation, long-document summarizing) from a premium agent to cheap models behind a local LiteLLM proxy, auto-routing each task by type. Delegated calls run in a separate process, so the subscription session and the API credentials never share an environment.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ec5hhmbzoy)
- **Repository:** <https://github.com/millennialdreamer/cheaplane>

## 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": "millennialdreamer-cheaplane"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/millennialdreamer-cheaplane` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/millennialdreamer-cheaplane/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