add-ollama-tool

npx skills add majiayu000/claude-skill-registry --skill add-ollama-tool --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# 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: ```bash ollama list ``` If Ollama is not installed, direct the user to https://ollama.com/download. If no models ar

ollama list
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)
git remote -v
git remote add upstream https://github.com/qwibitai/nanoclaw.git
git fetch upstream skill/ollama-tool
git merge upstream/skill/ollama-tool
for dir in data/sessions/*/agent-runner-src; do
cp container/agent-runner/src/ollama-mcp-stdio.ts "$dir/"