Claude Code CommandDocumentation39 installs

Troubleshooting Guide

Generate systematic troubleshooting documentation with diagnostic procedures, common issues, and automated solutions

Install with the Claude Code Templates CLI
$ npx claude-code-templates@latest --command="documentation/troubleshooting-guide" --yes

Requires Claude Code. The command adds this command to your project's .claudedirectory — nothing runs on ToolZip's servers.

What's inside this command

Component source

Troubleshooting Guide Generator

Generate troubleshooting documentation: $ARGUMENTS

Current System Context

  • System architecture: @docker-compose.yml or @k8s/ or detect deployment type
  • Log locations: !find . -name "log" -type d | head -3
  • Monitoring setup: !grep -r "prometheus\|grafana\|datadog" . 2>/dev/null | wc -l monitoring references
  • Error patterns: !find . -name "*.log" | head -3 recent logs
  • Health endpoints: !grep -r "health\|status" src/ 2>/dev/null | head -3

Task

Create comprehensive troubleshooting guide with systematic diagnostic procedures: $ARGUMENTS

  • System Overview and Architecture
- Document the system architecture and components

- Map out dependencies and integrations

- Identify critical paths and failure points

- Create system topology diagrams

- Document data flow and communication patterns

  • Common Issues Identification
- Collect historical support tickets and issues

- Interview team members about frequent problems

- Analyze error logs and monitoring data

- Review user feedback and complaints

- Identify patterns in system failures

  • Troubleshooting Framework
- Establish systematic diagnostic procedures

- Create problem isolation methodologies

- Document escalation paths and procedures

- Set up logging and monitoring checkpoints

- Define severity levels and response times

  • Diagnostic Tools and Commands

## Essential Diagnostic Commands
   
   ### System Health
bash

# Check system resources

top # CPU and memory usage

df -h # Disk space

free -m # Memory usage

netstat -tuln # Network connections

# Application logs

tail -f /var/log/app.log

journalctl -u service-name -f

# Database connectivity

mysql -u user -p -e "SELECT 1"

psql -h host -U user -d db -c "SELECT 1"

  • Issue Categories and Solutions

Performance Issues:

### Slow Response Times
   
   **Symptoms:**
   - API responses > 5 seconds
   - User interface freezing
   - Database timeouts
   
   **Diagnostic Steps:**
   1. Check system resources (CPU, memory, disk)
   2. Review application logs for errors
   3. Analyze database query performance
   4. Check network connectivity and latency
   
   **Common Causes:**
   - Database connection pool exhaustion
   - Inefficient database queries
   - Memory leaks in application
   - Network bandwidth limitations
   
   **Solutions:**
   - Restart application services
   - Optimize database queries
   - Increase connection pool size
   - Scale infrastructure resources

  • Error Code Documentation

## Error Code Reference
   
   ### HTTP Status Codes
   - **500 Internal Server Error**
     - Check application logs for stack traces
     - Verify database connectivity
     - Check environment variables
   
   - **404 Not Found**
     - Verify URL routing configuration
     - Check if resources exist
     - Review API endpoint documentation
   
   - **503 Service Unavailable**
     - Check service health status
     - Verify load balancer configuration
     - Check for maintenance mode

  • Environment-Specific Issues
- Document development environment problems

- Address staging/testing environment issues

- Cover production-specific troubleshooting

- Include local development setup problems

  • Database Troubleshooting

### Database Connection Issues
   
   **Symptoms:**
   - "Connection refused" errors
   - "Too many connections" errors
   - Slow query performance
   
   **Diagnostic Commands:**
sql

-- Check active connections

SHOW PROCESSLIST;

-- Check database size

SELECT table_schema,

ROUND(SUM(data_length + index_length) / 1024 / 1024, 1) AS 'DB Size in MB'

FROM information_schema.tables

GROUP BY table_schema;

-- Check slow queries

SHOW VARIABLES LIKE 'slow_query_log';

  • Network and Connectivity Issues

### Network Troubleshooting
   
   **Basic Connectivity:**
bash

# Test basic connectivity

ping example.com

telnet host port

curl -v https://api.example.com/health

# DNS resolution

nslookup example.com

dig example.com

# Network routing

traceroute example.com

**SSL/TLS Issues:**
bash

# Check SSL certificate

openssl s_client -connect example.com:443

curl -vI https://example.com

  • Application-Specific Troubleshooting

Memory Issues:

### Out of Memory Errors
    
    **Java Applications:**
bash

# Check heap usage

jstat -gc [PID]

jmap -dump:format=b,file=heapdump.hprof [PID]

# Analyze heap dump

jhat heapdump.hprof

**Node.js Applications:**
bash

# Monitor memory usage

node --inspect app.js

# Use Chrome DevTools for memory profiling

  • Security and Authentication Issues

### Authentication Failures
    
    **Symptoms:**
    - 401 Unauthorized responses
    - Token validation errors
    - Session timeout issues
    
    **Diagnostic Steps:**
    1. Verify credentials and tokens
    2. Check token expiration
    3. Validate authentication service
    4. Review CORS configuration
    
    **Common Solutions:**
    - Refresh authentication tokens
    - Clear browser cookies/cache
    - Verify CORS headers
    - Check API key permissions

  • Deployment and Configuration Issues

### Deployment Failures
    
    **Container Issues:**
bash

# Check container status

docker ps -a

docker logs container-name

# Check resource limits

docker stats

# Debug container

docker exec -it container-name /bin/bash

**Kubernetes Issues:**
bash

# Check pod status

kubectl get pods

kubectl describe pod pod-name

kubectl logs pod-name

# Check service connectivity

kubectl get svc

kubectl port-forward pod-name 8080:8080

  • Monitoring and Alerting Setup
- Configure health checks and monitoring

- Set up log aggregation and analysis

- Implement alerting for critical issues

- Create dashboards for system metrics

- Document monitoring thresholds

  • Escalation Procedures

## Escalation Matrix
    
    ### Severity Levels
    
    **Critical (P1):** System down, data loss
    - Immediate response required
    - Escalate to on-call engineer
    - Notify management within 30 minutes
    
    **High (P2):** Major functionality impaired
    - Response within 2 hours
    - Escalate to senior engineer
    - Provide hourly updates
    
    **Medium (P3):** Minor functionality issues
    - Response within 8 hours
    - Assign to appropriate team member
    - Provide daily updates

  • Recovery Procedures
- Document system recovery steps

- Create data backup and restore procedures

- Establish rollback procedures for deployments

- Document disaster recovery processes

- Test recovery procedures regularly

  • Preventive Measures
- Implement monitoring and alerting

- Set up automated health checks

- Create deployment validation procedures

- Establish code review processes

- Document maintenance procedures

  • Knowledge Base Integration
- Link to relevant documentation

- Reference API documentation

- Include links to monitoring dashboards

- Connect to team communication channels

- Integrate with ticketing systems

  • Team Communication

## Communication Channels
    
    ### Immediate Response
    - Slack: #incidents channel
    - Phone: On-call rotation
    - Email: alerts@company.com
    
    ### Status Updates
    - Status page: status.company.com
    - Twitter: @company_status
    - Internal wiki: troubleshooting section

  • Documentation Maintenance
- Regular review and updates

- Version control for troubleshooting guides

- Feedback collection from users

- Integration with incident post-mortems

- Continuous improvement processes

  • Self-Service Tools
- Create diagnostic scripts and tools

- Build automated recovery procedures

- Implement self-healing systems

- Provide user-friendly diagnostic interfaces

- Create chatbot integration for common issues

Advanced Troubleshooting Techniques: Log Analysis:
# Search for specific errors
grep -i "error" /var/log/app.log | tail -50

# Analyze log patterns
awk '{print $1}' access.log | sort | uniq -c | sort -nr

# Monitor logs in real-time
tail -f /var/log/app.log | grep -i "exception"
Performance Profiling:
# System performance
iostat -x 1
sar -u 1 10
vmstat 1 10

# Application profiling
strace -p [PID]
perf record -p [PID]

Remember to:

  • Keep troubleshooting guides up-to-date
  • Test all documented procedures regularly
  • Collect feedback from users and improve guides
  • Include screenshots and visual aids where helpful
  • Make guides searchable and well-organized
Type
Command
Category
Documentation
Installs
39
Source
GitHub ↗

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