# ollama-handoff

> Use this tool when you need to optimize cloud costs and streamline task allocation for large language models (LLMs). The ollama-handoff offloads low-complexity tasks to a local Ollama model, freeing up cloud resources for more complex and high-priority tasks. It accepts inputs from cloud LLM agents and outputs processed results from the local Ollama model, ideal for use cases where cost reduction and model efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/michael-whitecapdata-ollama-handoff  
JSON: https://api.skillsregistry.net/v1/skills/michael-whitecapdata-ollama-handoff

## Description

Offloads cheap work from cloud LLM agents to a local Ollama model, reducing costs and keeping frontier models focused on complex tasks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yzstc75h3o)
- **Repository:** <https://github.com/Michael-WhiteCapData/ollama-handoff>

## 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": "michael-whitecapdata-ollama-handoff"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michael-whitecapdata-ollama-handoff` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michael-whitecapdata-ollama-handoff/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