add-atomic-chat-tool

Connect NanoClaw agents to Atomic Chat's OpenAI-compatible API for local model access.

5|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/chiptoe-svg/nanoclaw_gccourse --skill add-atomic-chat-tool-chiptoe-svg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-atomic-chat-tool
Source: https://github.com/chiptoe-svg/nanoclaw_gccourse/tree/main/.claude/skills/add-atomic-chat-tool
Command: npx skills add https://github.com/chiptoe-svg/nanoclaw_gccourse --skill add-atomic-chat-tool-chiptoe-svg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the friction of connecting your NanoClaw container agent to local AI models running in the Atomic Chat desktop app, so you can run private, on-device inference tasks without relying on external cloud APIs.

Core Features & Use Cases

  • Local Model Access: Exposes two MCP tools to list available Atomic Chat models and send generation requests to them via the app's OpenAI-compatible API.
  • Seamless Integration: Adds the MCP server to your existing NanoClaw setup with additive, idempotent code edits that don't require merging branches.
  • Use Case: For a classroom setting, you can use this Skill to let students run private coding assistance queries on local models without sending their code to external services.

Quick Start

Use the add-atomic-chat-tool skill to configure local Atomic Chat model access for your NanoClaw agent, then ask the agent to summarize your course notes using a local Llama model.

Frequently Asked Questions about add-atomic-chat-tool

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect a NanoClaw agent to local Atomic Chat models for private inference?

You connect NanoClaw to local Atomic Chat models by integrating a stdio-based MCP server that exposes tools for model discovery and chat completion generation via the app's OpenAI-compatible API. This allows on-device inference without external API calls.

Can I use local AI models with NanoClaw without sending data to external cloud APIs?

Yes, you can use local AI models with NanoClaw without external cloud APIs by connecting the agent to the Atomic Chat desktop application. This setup satisfies functional requirements for private, on-device query processing like summarization and translation.

What is the best way to configure an OpenAI-compatible API for a containerized agent?

The best way to configure an OpenAI-compatible API for a containerized agent is using a stdio-based MCP server integration. This approach supports configurable host and authentication overrides to securely access local models.

Does NanoClaw support discovering local models hosted by the Atomic Chat desktop app?

Yes, NanoClaw supports discovering local models hosted by the Atomic Chat desktop app through an MCP server tool. It lists available local models and sends generation requests to them using the app's OpenAI-compatible API.

How to set up local model access for a NanoClaw container agent without merging branches?

You set up local model access by applying additive, idempotent code edits to your existing NanoClaw configuration. This seamless integration adds the MCP server without requiring branch merges, enabling immediate access to Atomic Chat models.

Are there limitations when using Atomic Chat for private coding assistance in academic workflows?

Atomic Chat is limited to the local models available on your device and requires the desktop app to be running. It is designed for academic and personal workflows needing private summarization, translation, and general query processing.