Agent Skill

Add Ollama Provider skill

add-ollama-providernanocoai/nanoclaw.claude/skills/add-ollama-provider/SKILL.md

Route a NanoClaw agent group to a local Ollama model instead of the Anthropic API. Ollama speaks the Anthropic API natively (v1/messages), so no provider code changes are needed — just env var overrides and a model setting. Use when the user wants to run their agent locally, cut API costs, or experiment with open-weight models. See docs/ollama.md for background.

31kMIT

always on

88 tokname + description

once used

1,543 tokSKILL.md body

bundled files

repo stars

31kGitHub

Install the Add Ollama Provider skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/nanocoai/nanoclaw --skill add-ollama-provider

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/nanocoai/nanoclaw.git /tmp/nanoclaw
mkdir -p ~/.claude/skills
cp -R /tmp/nanoclaw/.claude/skills/add-ollama-provider ~/.claude/skills/add-ollama-provider

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

When	What loads	Cost
Every session	Name and description	88 tok
When the agent uses it	The SKILL.md instructions	1,543 tok
Only if opened	No bundled files	—

Until it is used, add-ollama-provider costs about 15× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 64 skills from nanocoai/nanoclaw would load 3,369 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

Add Ollama Provider
Prerequisites
1. Check source support
1a. Extend ContainerConfig
1b. Wire into container-runner
1c. Fix home directory permissions (if not already done)
2. Identify the setup
3. Configure container.json
4. Set the model
5. Build and restart
6. Verify
Reverting to Claude
Troubleshooting

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