Bundle analyzer

Skill VRIL-LABS/skill-jam/skills/core-collections/new-skills-2026/performance-optimization/bundle-analyzer

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Install

npx -y skills add VRIL-LABS/skill-jam --skill bundle-analyzer

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What its author says it does

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Analyze JavaScript bundles — code splitting and tree shaking. Use when optimizing bundle size, reducing load times, or analyzing dependencies.

SKILL.md

4.8 KB, as published. Nobody here has run it

bundle-analyzer

Analyze javascript bundles.

When to Use

Invoke this skill when you need to work with bundle analyzer in your infrastructure or application.

Quick Start

# Example command or configuration
echo "Sample usage for bundle-analyzer"

Common Scenarios

Scenario 1: Basic Setup

Description of a basic use case for bundle-analyzer.

# Configuration example
example:
  setting: value
  enabled: true

Scenario 2: Advanced Configuration

More complex usage scenario.

# Advanced example
command --option value

Scenario 3: Production Deployment

Production-ready configuration and best practices.

# Production configuration
production:
  replicas: 3
  resources:
    requests:
      memory: "1Gi"
      cpu: "500m"

Best Practices

Security: Implement security best practices
Performance: Optimize for performance
Reliability: Ensure high availability
Monitoring: Set up comprehensive monitoring
Documentation: Document configurations thoroughly

Troubleshooting

Common Issues

Issue 1: Connection Failed

Check network connectivity
Verify credentials
Review firewall rules

Issue 2: Performance Degradation

Monitor resource usage
Check for bottlenecks
Optimize configuration

Issue 3: Configuration Errors

Validate syntax
Check for typos
Review documentation

Advanced Patterns

Pattern 1: High Availability Setup

# HA configuration
high_availability:
  enabled: true
  nodes: 3
  failover: automatic

Pattern 2: Multi-Region Deployment

# Multi-region setup
regions:
  - us-east-1
  - us-west-2
  - eu-west-1
replication: enabled

Pattern 3: Automated Scaling

# Auto-scaling configuration
autoscaling:
  min: 2
  max: 10
  target_utilization: 70

Integration Examples

CI/CD Pipeline Integration

# GitHub Actions example
name: bundle-analyzer
on: [push]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Configure bundle-analyzer
        run: |
          # Setup commands
          echo "Configuring bundle-analyzer"

Monitoring Integration

# Prometheus metrics
metrics:
  enabled: true
  port: 9090
  path: /metrics

Logging Integration

# Centralized logging
logging:
  level: info
  destination: elasticsearch
  format: json

Performance Tuning

Optimize resource allocation
Configure caching appropriately
Implement connection pooling
Use compression where applicable
Monitor and adjust based on metrics

Security Considerations

Use encryption at rest and in transit
Implement proper authentication
Follow principle of least privilege
Regular security audits
Keep dependencies updated

Cost Optimization

Right-size resources
Use reserved capacity where applicable
Implement auto-scaling
Clean up unused resources
Monitor and optimize continuously

Migration Guide

From Legacy System

Assess current setup
Plan migration strategy
Test in staging environment
Gradual rollout to production
Validate and monitor

Version Upgrade

Review changelog
Test in non-production
Backup current state
Perform upgrade
Validate functionality

Useful Commands

# List resources
command list --all

# Get details
command describe <resource-name>

# Update configuration
command update --config config.yaml

# Monitor status
command status --watch

# Troubleshoot issues
command debug --verbose

Related Skills

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terraform-provisioner: Provision infrastructure as code
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elk-stack-manager: Centralize logging
gitops-deployer: Automate deployments