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.
Quick Facts
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
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
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
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
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 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
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.