Local AI Stack

SKILL.md — Local AI Stack

Purpose

Transform any Mac into a powerful offline AI workstation. Installs Ollama (local model runner) + OpenCode (terminal coding agent) with the best pre-selected models. Fully offline — no API costs, no internet required.

What You Get

Ollama — Local model runner (14GB models, ~$0 to run)

OpenCode — Terminal coding agent with free built-in models

4 curated models — qwen2.5-coder, mistral, gemma3, llama3.2

Bi-weekly auto-updates — New models pulled automatically

OpenClaw integration — Works with your existing agent

Requirements

macOS (Apple Silicon recommended)

24GB+ RAM (for larger models)

50GB+ free disk space

Homebrew installed

Installation

Step 1: Install Ollama

curl -fsSL https://ollama.com/install.sh | sh

Or download from: https://ollama.com/download

Step 2: Pull Models

ollama pull qwen2.5-coder    # Best for coding
ollama pull mistral          # Fast tasks
ollama pull gemma3          # Reasoning
ollama pull llama3.2        # General purpose

Step 3: Install OpenCode

brew install opencode

Step 4: Configure OpenCode

# Test free built-in model
opencode run "Hello" --model opencode/big-pickle

Usage

Ollama Commands

# Run a local model
ollama run qwen2.5-coder "Write a Python function..."
List installed models
ollama list
Pull latest model version
ollama pull qwen2.5-coder
Remove a model
ollama rm mistral

OpenCode Commands

# Interactive coding session
opencode
Single command
opencode run "Write a React component" --model opencode/big-pickle
List available models
opencode models
Help
opencode --help

Model Selection Guide

| Model | Size | Best For | |-------|------|----------| | qwen2.5-coder | 4.7GB | Coding (primary) | | mistral | 4.4GB | Fast responses | | gemma3 | 3.3GB | Reasoning | | llama3.2 | 2.0GB | General purpose |

When to Use Local vs Cloud

Use Local When:

Offline (no internet)

Privacy-sensitive work

Quick coding tasks

Cost-sensitive (zero API fees)

Simple to medium complexity tasks

Use Cloud When:

Complex multi-step reasoning

Web search required

Long creative writing

Image generation

Advanced AI capabilities

Bi-Weekly Auto-Update

Add to cron for automatic model updates:

# Edit crontab
crontab -e
Add this line (1st and 15th of each month at 9 AM)
0 9 1,15 * * /path/to/update-models.sh

Troubleshooting

Ollama won't start

# Check if running
ps aux | grep ollama
Start manually
ollama serve
Check logs
cat ~/.ollama/ollama.log

Model runs out of memory

Close other apps

Use smaller model (llama3.2 instead of qwen2.5-coder)

Check available RAM: top | head -20

OpenCode not found

# Find installation
which opencode
Reinstall if needed
brew reinstall opencode

Files

Models stored: ~/.ollama/models/

Config: ~/.ollama/config.json

Logs: ~/.ollama/ollama.log

License

Ollama: MIT OpenCode: MIT

Author

Built with ❤️ for the OpenClaw community

Notes

Models load into RAM when used, unload when idle

Only one model runs at a time by default

For best performance, use Apple Silicon Mac with 24GB+ RAM

Ollama Commands

# Run a local model
ollama run qwen2.5-coder "Write a Python function..."
List installed models
ollama list
Pull latest model version
ollama pull qwen2.5-coder
Remove a model
ollama rm mistral

OpenCode Commands

# Interactive coding session
opencode
Single command
opencode run "Write a React component" --model opencode/big-pickle
List available models
opencode models
Help
opencode --help

Models load into RAM when used, unload when idle

Only one model runs at a time by default

For best performance, use Apple Silicon Mac with 24GB+ RAM