# claude-code-ollama-local

> claude-code-ollama-local — khisag4704-claude-code-ollama-local. Use this tool when you need to run Claude Code locally without relying on the Anthropic API key, and utilize a simple Windows launcher for a lightweight default model experience. It solves problems related to local code execution and model management, providing a straightforward interface for launching and running Claude Code. Ideal for development and testing scenarios where a self-contained environment is preferred.

Canonical page: https://skillsregistry.net/skills/khisag4704-claude-code-ollama-local  
JSON: https://api.skillsregistry.net/v1/skills/khisag4704-claude-code-ollama-local

## Description

Run Claude Code locally with Ollama, no Anthropic API key needed, using a simple Windows launcher and a lightweight default model

## 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
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/khisag4704/claude-code-ollama-local)

## 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": "khisag4704-claude-code-ollama-local"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khisag4704-claude-code-ollama-local` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khisag4704-claude-code-ollama-local/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