Ollama Local Model Manager — AI Skill Guide

## Extension: ollama

138 stars

Best use case

Ollama Local Model Manager — AI Skill Guide is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

## Extension: ollama

Teams using Ollama Local Model Manager — AI Skill Guide should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ollama_manager/SKILL.md --create-dirs "https://raw.githubusercontent.com/tubecreate/tubecli/main/tubecli/extensions/ollama_manager/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ollama_manager/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Ollama Local Model Manager — AI Skill Guide Compares

Feature / AgentOllama Local Model Manager — AI Skill GuideStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

## Extension: ollama

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Ollama Local Model Manager — AI Skill Guide

## Extension: ollama
Manages local Ollama AI models for agents to use without cloud API keys.

## Available Commands

### Server Status
```
tubecli ollama status
```

### List Models
```
tubecli ollama models
```

### Pull Model
```
tubecli ollama pull qwen:latest
tubecli ollama pull llama3:8b
tubecli ollama pull gemma2:9b
```

### Remove Model
```
tubecli ollama remove qwen:latest
```

### Show Model Details
```
tubecli ollama show qwen:latest
```

### List Running Models
```
tubecli ollama running
```

## API Endpoints

| Method | Endpoint | Description |
|--------|----------|-------------|
| GET | `/api/v1/ollama/status` | Server status |
| GET | `/api/v1/ollama/models` | List models |
| GET | `/api/v1/ollama/running` | List loaded models |
| POST | `/api/v1/ollama/pull` | Pull model |
| DELETE | `/api/v1/ollama/models` | Remove model |
| GET | `/api/v1/ollama/models/{name}` | Model details |
| POST | `/api/v1/ollama/assign` | Assign model to agent |

## AI Usage
1. Check if Ollama is running: `GET /api/v1/ollama/status`
2. List available models: `GET /api/v1/ollama/models`
3. If needed model not installed, pull it: `POST /api/v1/ollama/pull {"model": "qwen:latest"}`
4. Assign to agent: `POST /api/v1/ollama/assign {"agent_id": "...", "model": "qwen:latest"}`

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