ollama

Ollama 本地大模型调用技能。支持通过 API 与 Ollama 实例交互进行文本生成。 Use when: (1) 需要调用本地或远程 Ollama 模型 (2) 需要执行 LLM 推理任务 (3) 需要通过 Python 脚本与特定 Ollama 实例 (如 qwen3.5:9b) 交互。

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Best use case

ollama is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using ollama 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-2/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/ayflying/ollama-2/SKILL.md"

Manual Installation

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

How ollama Compares

Feature / Agent	ollama	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?

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.

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SKILL.md Source

# Ollama 技能

通过 API 方式调用 Ollama 模型。支持自定义 Host、模型名称以及 Prompt 提示词。

## 核心配置

- **环境变量**: 见 `.env.example`
- **默认地址**: `http://100.66.1.2:11434`
- **默认模型**: `qwen3.5:9b` (推荐)

## 使用方法

### 调用示例

```bash
# 基本调用（使用默认模型）
python scripts/ollama_query.py "请简述量子力学"

# 指定模型调用
python scripts/ollama_query.py "写一首关于春天的诗" qwen2.5:7b
```

## 安装说明

使用 `npx skills` 工具安装：

```bash
npx skills add ayflying/ai-skills --skill ollama
```

## 文件结构

```
ollama/
├── SKILL.md              # 技能说明
├── scripts/
│   ├── ollama_query.py   # 模型查询核心脚本
│   └── test_ollama.py    # 连通性测试脚本
├── .env.example          # 环境变量模板
└── assets/               # 资源目录
```

## 注意事项

1. **环境准备**: 确保本地已安装 Ollama 且服务已启动 (`ollama serve`)。
2. **模型下载**: 使用前需先下载模型，例如 `ollama pull qwen3.5:9b`。
3. **Python 依赖**: 需要安装 `requests` 库 (`pip install requests`)。

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