Ollama Local Model Manager — AI Skill Guide
## Extension: ollama
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ollama_manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Ollama Local Model Manager — AI Skill Guide Compares
| Feature / Agent | Ollama Local Model Manager — AI Skill Guide | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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"}`Related Skills
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