Agent skill
container-debugging
Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.
Install this agent skill to your Project
npx add-skill https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/container-debugging
SKILL.md
Container Debugging
Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
websocket-implementation
Implement real-time bidirectional communication with WebSockets including connection management, message routing, and scaling. Use when building real-time features, chat systems, live notifications, or collaborative applications.
refactor-legacy-code
Modernize and improve legacy codebases while maintaining functionality. Use when you need to refactor old code, reduce technical debt, modernize deprecated patterns, or improve code maintainability without breaking existing behavior.
Sentiment Analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
flask-api-development
Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.
ML Model Explanation
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
Statistical Hypothesis Testing
Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing
Didn't find tool you were looking for?