add-dashboard

Add a local monitoring dashboard for NanoClaw deployments.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

NanoClaw lacks built-in visibility into agent group performance, session status, and system activity, making it difficult for instructors and administrators of academic AI classrooms to monitor and debug their deployments without manual log inspection.

Core Features & Use Cases

  • Real-time System Monitoring: Tracks agent groups, active sessions, channel status, user privileges, token usage, context window consumption, and message activity in a single unified interface.
  • Live Log Streaming: Tails the NanoClaw log file and streams new entries to the dashboard in real time for rapid issue debugging.
  • Use Case: An instructor running a multi-agent AI classroom can use this dashboard to quickly identify offline agents, track token costs across student groups, and resolve session issues without parsing raw log files.

Quick Start

Use the add-dashboard skill to install and configure a real-time monitoring dashboard for your NanoClaw classroom deployment that displays agent metrics, token usage, and live log streams.

Frequently Asked Questions about add-dashboard

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

FAQPage Schema
How do I monitor agent performance and token usage in a NanoClaw classroom deployment?

You can monitor a NanoClaw classroom deployment by adding a local real-time dashboard that tracks agent groups, active sessions, token consumption, context window usage, and channel status in a single unified interface.

What is the best way to stream NanoClaw logs for real-time debugging without external observability tools?

Real-time log streaming is handled by a local monitoring dashboard that tails the NanoClaw log file and streams new entries directly to the interface, providing self-hosted observability without relying on external services.

Can I track context window consumption and token costs across student groups in an academic AI environment?

Yes, an instructor can use a local monitoring dashboard to track token costs and context window consumption across student groups, and quickly identify offline agents or resolve session issues without parsing raw logs.

Does the NanoClaw monitoring dashboard require external services or dependencies to function?

No external observability tools or services are required, as the dashboard provides self-hosted system monitoring by running locally and reading directly from the NanoClaw log file and system metrics.

How do I install and configure a real-time monitoring dashboard for my NanoClaw deployment?

You can install and configure the monitoring dashboard by applying the dashboard skill, which sets up the interface to display agent metrics, token usage, and live log streams for your classroom environment.