debug

Diagnose container configuration, logs, and environment setups for AI agents.

30.5k|12.9k|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/nanocoai/nanoclaw --skill debug-nanocoai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/nanocoai/nanoclaw/tree/main/.claude/skills/debug
Command: npx skills add https://github.com/nanocoai/nanoclaw --skill debug-nanocoai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users identify and resolve issues related to containerized AI agents, including logs, environment variables, mounting problems, and common errors.

Core Features & Use Cases

  • Issue Diagnosis: Guides users through troubleshooting common container problems such as missing adapters, session failures, and permission issues.
  • Configuration Checks: Assists in verifying environment setups, mounts, and process statuses to ensure proper operation.
  • Use Case: When a container stops responding or logs show errors, use this Skill to pinpoint configuration mistakes or runtime issues to speed up resolution.

Quick Start

Follow the instructions to check container setup, environment variables, logs, and mounting paths to troubleshoot common NanoClaw container issues efficiently.

Frequently Asked Questions about debug

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

FAQPage Schema
How do I troubleshoot container environment variables and mounting problems?

Troubleshoot container environment variables and mounting problems by verifying environment setups, mount points, and process states to pinpoint configuration mistakes preventing correct operation.

Why does my containerized AI agent stop responding and show errors in logs?

Containerized AI agents stop responding and log errors due to missing adapters, session failures, or permission issues, which you can diagnose by analyzing container logs and configurations.

What is the best way to diagnose container configuration issues for AI agents?

The best way to diagnose container configuration issues is to verify environment variables, check mount points, inspect process states, and analyze log content to identify runtime failures.

Can I use this troubleshooting process for missing adapters and session failures?

Yes, you can use this troubleshooting process to guide you through resolving common container problems including missing adapters, session failures, and permission issues efficiently.

How to check container setup to fix common agent runtime issues step by step?

Check container setup step by step by verifying environment variables, reviewing logs, inspecting mounting paths, and checking process statuses to troubleshoot common runtime issues.

What are common limitations when diagnosing AI container agent failures?

Limitations when diagnosing AI container agent failures include relying on accurate log content and environment configurations, as incorrect mount points or missing adapters may obscure the root cause.