Disaster Recovery Planning for AI Agents

Where this fits

You're a platform engineer who just got handed a compliance checklist for SOC 2 and a mandate to design a multi-region active-passive architecture. You need concrete RTO/RPO numbers, a failover strategy, and a way to prove backups actually work. The disaster-recovery-planner skill turns your agent into a DR architect that drafts these plans directly from your system context.

Why agents benefit

• Defines tiered RTO/RPO targets – Analyzes application criticality to suggest data-loss and downtime limits per service, not a single blanket number.
• Selects the right topology – Evaluates backup-restore, pilot light, warm standby, or active-active based on your cost and latency constraints.
• Checks replication health – Inspects async vs sync lag, cross-region replication (CRR), and WAL archiving to flag potential data loss windows.
• Automates failover and split-brain prevention – Generates Route 53/Cloudflare health-check policies with low TTLs and quorum-based fencing tokens to avoid dual-writer conflicts.
• Produces audit-ready documentation – Outputs DR runbooks with verification steps that satisfy compliance reviewers.

Practical scenarios

SOC 2 / ISO 27001 Audit Preparation

Your agent uses this skill to map existing infrastructure to DR requirements, identify gaps in backup frequency, and generate an RTO/RPO matrix that an auditor can accept.

Migrating from Single-Region to Active-Active

You want to add a second region without rewriting the app. The skill evaluates your current DB replication lag, suggests quorum settings, and drafts a failover test plan that minimizes data loss.

Automated Backup Restore Drills

Instead of quarterly manual drills, your agent runs a scheduled simulation that validates S3 versioning, RDS snapshots, and cross-region restore times, then posts a report to your Slack channel.

Add it to your agent workflow

Install the skill and invoke it with your architecture context.

npx skills add codebygarv/Ai-skills --skill disaster-recovery-planner

Then prompt your agent:

Use disaster-recovery-planner to draft a warm-standby plan for our US-East and EU-West regions. Database is PostgreSQL with WAL archiving. Our RPO target is 5 minutes.

The skill will output a structured plan with topology, replication settings, DNS failover rules, and a split-brain prevention checklist.

Compare before adopting

Before committing, compare this skill against other DR-related agent skills on plan depth (does it cover split-brain or just backups?), maintenance freshness (last commit and issue resolution), and alternatives like using a generic infrastructure skill with manual DR prompts. Also check if it fits your existing agent's toolchain—some skills assume specific cloud providers or monitoring integrations.

Why it is worth tracking

With 21 stars and an active author (codebygarv), this skill shows early community traction. It addresses a real pain point—most agent skills ignore DR planning. Track it if you're building compliance-aware agents or need to automate failover testing. As it matures, expect deeper cloud-specific templates and integration with infrastructure-as-code tools. For a broader view of similar agent skills, browse the OpenAgentSkill directory and see how it compares in the automation category.