labor.fun: Skill for Claude Code

Add Ollama Integration

This skill adds a stdio-based MCP server that exposes local Ollama models as tools for the container agent. Claude remains the orchestrator but can offload work to local models, and can optionally manage the model library directly.

Core tools (always available):

• ollama_list_models — list installed Ollama models with name, size, and family
• ollama_generate — send a prompt to a specified model and return the response

Management tools (opt-in via OLLAMA_ADMIN_TOOLS=true):

• ollama_pull_model — pull (download) a model from the Ollama registry
• ollama_delete_model — delete a locally installed model to free disk space
• ollama_show_model — show model details: modelfile, parameters, and architecture info
• ollama_list_running — list models currently loaded in memory with memory usage and processor type

Phase 1: Pre-flight

Check if already applied

Check if container/agent-runner/src/ollama-mcp-stdio.ts exists. If it does, skip to Phase 3 (Configure).

Check prerequisites

Verify Ollama is installed and running on the host:

ollama list

If Ollama is not installed, direct the user to https://ollama.com/download.

If no models are installed, suggest pulling one:

You need at least one model. I recommend:

ollama pull gemma3:1b    # Small, fast (1GB)
ollama pull llama3.2     # Good general purpose (2GB)
ollama pull qwen3-coder:30b  # Best for code tasks (18GB)

Phase 2: Apply Code Changes

Ensure upstream remote

git remote -v

If upstream is missing, add it:

git remote add upstream https://github.com/qwibitai/salem.git

Merge the skill branch

git fetch upstream skill/ollama-tool
git merge upstream/skill/ollama-tool

This merges in:

• container/agent-runner/src/ollama-mcp-stdio.ts (Ollama MCP server)
• scripts/ollama-watch.sh (macOS notification watcher)
• Ollama MCP config in container/agent-runner/src/index.ts (allowedTools + mcpServers)
• [OLLAMA] log surfacing in src/container-runner.ts
• OLLAMA_HOST in .env.example