MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

disaster-recovery

disaster-recovery is an code AI skill with a core value of Implement disaster recovery strategies and runbooks. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Implement disaster recovery strategies and runbooks. Configure RPO/RTO targets and failover procedures. Use when planning for business continuity.

Last verified on: 2026-10-06

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/disaster-recovery && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/disaster-recovery/SKILL.md -o ./skills/disaster-recovery/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Disaster Recovery


Implement disaster recovery strategies including RTO/RPO planning, AWS cross-region failover patterns, DR testing procedures, and automated failover scripts.


RTO/RPO Planning


yaml
recovery_metrics:
  RTO:
    definition: "Recovery Time Objective - maximum acceptable downtime"
    measurement: "From incident declaration to service restoration"
    factors:
      - Failover automation maturity
      - Data replication lag
      - DNS propagation time
      - Application warm-up time
      - Verification procedures

  RPO:
    definition: "Recovery Point Objective - maximum acceptable data loss"
    measurement: "Time gap between last good backup and the incident"
    factors:
      - Backup frequency
      - Replication method (sync vs. async)
      - Transaction log shipping interval
      - Cross-region replication lag

service_tier_targets:
  tier_1_critical:
    examples: "Authentication, payment processing, core API"
    rto: "< 15 minutes"
    rpo: "< 1 minute (near-zero)"
    strategy: "Multi-site active-active or warm standby"
    replication: "Synchronous or near-synchronous"
    testing: "Quarterly failover test"

  tier_2_essential:
    examples: "Customer dashboards, reporting, notifications"
    rto: "< 1 hour"
    rpo: "< 15 minutes"
    strategy: "Warm standby or pilot light"
    replication: "Asynchronous with short interval"
    testing: "Semi-annual failover test"

  tier_3_standard:
    examples: "Internal tools, analytics, batch processing"
    rto: "< 4 hours"
    rpo: "< 1 hour"
    strategy: "Pilot light or backup and restore"
    replication: "Periodic snapshots"
    testing: "Annual failover test"

  tier_4_non_essential:
    examples: "Development environments, documentation sites"
    rto: "< 24 hours"
    rpo: "< 24 hours"
    strategy: "Backup and restore"
    replication: "Daily backups"
    testing: "Annual backup restore verification"

DR Strategies Comparison


yaml
strategies:
  backup_and_restore:
    rto: "Hours"
    rpo: "Hours (depends on backup frequency)"
    cost: "$"
    description: "Regular backups stored in DR region. Restore from backup when needed."
    aws_services:
      - "S3 cross-region replication for backups"
      - "RDS automated snapshots copied to DR region"
      - "AMI copies in DR region"
      - "Terraform/CloudFormation for infrastructure rebuild"
    pros: "Lowest cost, simplest to maintain"
    cons: "Longest recovery time, highest data loss potential"

  pilot_light:
    rto: "Minutes to hours"
    rpo: "Minutes"
    cost: "$$"
    description: "Core infrastructure running in DR region (databases replicated). Scale up compute on failover."
    aws_services:
      - "RDS cross-region read replica (always running)"
      - "S3 cross-region replication"
      - "AMIs pre-built in DR region"
      - "Auto Scaling groups at zero/minimal capacity"
    pros: "Fast database recovery, moderate cost"
    cons: "Compute scale-up adds to recovery time"

  warm_standby:
    rto: "Minutes"
    rpo: "Seconds to minutes"
    cost: "$$$"
    description: "Scaled-down but functional environment in DR region. Scale up on failover."
    aws_services:
      - "RDS cross-region read replica"
      - "ECS/EKS running at reduced capacity"
      - "Route53 health checks for automated DNS failover"
      - "Global Accelerator for traffic management"
    pros: "Fast failover, reduced risk"
    cons: "Higher baseline cost for idle resources"

  multi_site_active:
    rto: "Near-zero"
    rpo: "Near-zero"
    cost: "$$$$"
    description: "Active-active across regions. Traffic served from both regions simultaneously."
    aws_services:
      - "DynamoDB Global Tables or Aurora Global Database"
      - "Route53 latency/weighted routing"
      - "CloudFront with multi-origin"
      - "Global Accelerator"
      - "ECS/EKS in both regions"
    pros: "Minimal downtime and data loss"
    cons: "Highest cost, most complex to operate"

AWS Cross-Region DR

🎯 Best For

  • UI designers
  • Product designers
  • Claude users
  • Software engineers
  • Development teams

💡 Use Cases

  • Generating component mockups
  • Creating design system tokens
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply disaster-recovery to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is disaster-recovery compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for disaster-recovery?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install disaster-recovery?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/disaster-recovery/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

🔗 Related Skills