nanoclaw

Manage NanoClaw agent groups, Docker containers, and operational status.

3|2|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/yoonhwan/ai-feature-pack --skill nanoclaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nanoclaw
Source: https://github.com/yoonhwan/ai-feature-pack/tree/main/feature-pack/nanoclaw/skill
Command: npx skills add https://github.com/yoonhwan/ai-feature-pack --skill nanoclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually tracking and managing multiple NanoClaw agent groups, running Docker containers, system services, and conversation histories is time-consuming and error-prone when scaling multi-agent operations.

Core Features & Use Cases

  • Group Management: Create and configure agent groups with custom personas, and manage group memory directives, mistake logs, and achievement records for consistent agent behavior.
  • Status Monitoring: Check running NanoClaw and OneCLI containers, launchd service status, and query SQLite message history to track agent interaction volume and health.
  • Skill Management: View built-in skills and add custom skills to specific agent groups to extend agent capabilities for specialized tasks.
  • Use Case: For a team running specialized NanoClaw agents for code review and research, use this skill to verify all agent containers are active, review past error directives for a troubleshooting group, and deploy a new custom code analysis skill to the development agent group.

Quick Start

Use the nanoclaw skill to check the status of all running NanoClaw agent containers and review the memory directives for your active research group.

Frequently Asked Questions about nanoclaw

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

FAQPage Schema
How do I monitor running Docker containers for multi-agent AI platforms?

You can query SQLite message history to track agent interaction volume and audit past interactions. This allows you to review conversation logs and monitor the health of agent groups within the multi-agent platform.

How do I deploy custom skills to specific agent groups in a multi-agent system?

You can manage agent memory directives, mistake logs, and achievement records by creating and configuring agent groups with custom personas. This ensures consistent agent behavior across specialized tasks.

How do I track agent memory directives and mistake logs for consistent behavior?

Yes, you can query SQLite message history to audit agent interactions and track interaction volume. This provides visibility into conversation logs for health monitoring and troubleshooting within agent groups.

Can I check launchd service status alongside Docker container monitoring?

You can deploy custom skills to specific agent groups by viewing available built-in skills and adding new capabilities to extend agent functionality. This supports specialized task deployment for development or research groups.

What is the best way to orchestrate multiple AI agent groups with custom personas?

The best way to orchestrate multiple AI agent groups with custom personas is to use a multi-agent platform that supports group management, memory directives, and custom skill deployment for specialized task coordination.

Do I need Docker to run NanoClaw agent groups and monitor their status?

Yes, Docker is required to run NanoClaw agent groups, as the platform relies on Docker containers for deployment. You can monitor these containers alongside launchd services to ensure operational health.