container-debugging
Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.
- Installs
- 488
- Last 24h
- —
- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill container-debugging- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads container-debugging automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Container Debugging
Table of Contents
Overview
Container debugging focuses on issues within Docker/Kubernetes environments including resource constraints, networking, and application runtime problems.
When to Use
- Container won't start
- Application crashes in container
- Resource limits exceeded
- Network connectivity issues
- Performance problems in containers
Quick Start
Minimal working example:
# Check container status
docker ps -a
docker inspect <container-id>
docker stats <container-id>
# View container logs
docker logs <container-id>
docker logs --follow <container-id> # Real-time
docker logs --tail 100 <container-id> # Last 100 lines
# Connect to running container
docker exec -it <container-id> /bin/bash
docker exec -it <container-id> sh
# Inspect container details
docker inspect <container-id> | grep -A 5 "State"
docker inspect <container-id> | grep -E "Memory|Cpu"
# Check container processes
docker top <container-id>
# View resource usage
docker stats <container-id>
# Shows: CPU%, Memory usage, Network I/O
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Docker Debugging Basics | Docker Debugging Basics |
| Common Container Issues | Common Container Issues |
| Container Optimization | Container Optimization |
| Debugging Checklist | Debugging Checklist |
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values
FAQ
What does the container-debugging skill do?
Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.
How do I install container-debugging?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill container-debugging in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/container-debugging/ (personal) or .claude/skills/container-debugging/ (project).
Which AI agents can use container-debugging?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is container-debugging safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains container-debugging?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 488 recorded installs.
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