multiAI Summary Pending
IT Disaster Recovery Plan Generator
Build production-ready disaster recovery plans that actually get followed when things break.
3,556 stars
byopenclaw
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/afrexai-disaster-recovery/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-disaster-recovery/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/afrexai-disaster-recovery/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How IT Disaster Recovery Plan Generator Compares
| Feature / Agent | IT Disaster Recovery Plan Generator | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build production-ready disaster recovery plans that actually get followed when things break.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# IT Disaster Recovery Plan Generator Build production-ready disaster recovery plans that actually get followed when things break. ## What This Does Generates a complete DR plan covering infrastructure, data, applications, and communications. Output includes RTO/RPO targets, failover procedures, testing schedules, and cost modeling. ## When to Use - Building DR documentation for compliance (SOC 2, ISO 27001, HIPAA) - After an outage exposed gaps in your recovery process - Onboarding a new infrastructure team - Annual DR plan review and update ## How to Use Tell the agent what you need. Be specific about your stack and requirements. ### Quick Start ``` Generate a disaster recovery plan for our SaaS platform. Stack: AWS (us-east-1 primary, eu-west-1 secondary), PostgreSQL RDS, Redis, S3. RTO target: 4 hours. RPO target: 1 hour. Team size: 8 engineers. ``` ### Inputs to Provide - **Infrastructure**: Cloud provider, regions, key services - **Data stores**: Databases, object storage, message queues - **RTO target**: Maximum acceptable downtime - **RPO target**: Maximum acceptable data loss - **Team size**: Who's available during an incident - **Compliance**: Which frameworks apply (SOC 2, ISO 27001, HIPAA, PCI DSS) - **Budget tier**: Startup ($5K-$15K/yr) | Growth ($15K-$50K/yr) | Enterprise ($50K+/yr) ## Output Structure ### 1. Risk Assessment Matrix | Threat | Likelihood (1-5) | Impact (1-5) | Risk Score | Mitigation | |--------|------------------|--------------|------------|------------| | Region outage | 2 | 5 | 10 | Multi-region active-active | | Database corruption | 3 | 5 | 15 | Point-in-time recovery + cross-region replicas | | Ransomware | 3 | 5 | 15 | Immutable backups + air-gapped copies | | DNS failure | 2 | 4 | 8 | Multiple DNS providers | | Key person unavailable | 4 | 3 | 12 | Runbook documentation + cross-training | ### 2. Recovery Tier Classification **Tier 1 — Critical (RTO < 1hr)** - Authentication service - Payment processing - Core API **Tier 2 — Important (RTO < 4hr)** - Admin dashboard - Reporting - Email delivery **Tier 3 — Standard (RTO < 24hr)** - Analytics - Internal tools - Dev/staging environments ### 3. Failover Procedures For each Tier 1 service, generate step-by-step runbooks: - Pre-failover health checks - DNS/load balancer switchover steps - Data consistency verification - Post-failover smoke tests - Rollback procedure if failover fails ### 4. Backup Strategy | Data Store | Backup Frequency | Retention | Location | Recovery Test Frequency | |-----------|-----------------|-----------|----------|----------------------| | Primary DB | Continuous (WAL) | 30 days | Cross-region | Monthly | | Object Storage | Cross-region replication | Indefinite | Secondary region | Quarterly | | Config/Secrets | On change | 90 days | Encrypted S3 + local | Monthly | ### 5. Communication Plan - **Internal escalation**: PagerDuty/Opsgenie chain with backup contacts - **Status page**: Auto-update triggers at incident declaration - **Customer notification**: Templates for P1-P4 severity levels - **Executive briefing**: 15-min cadence during P1, hourly during P2 ### 6. Testing Schedule | Test Type | Frequency | Scope | Duration | |-----------|-----------|-------|----------| | Tabletop exercise | Quarterly | Full team walkthrough | 2 hours | | Component failover | Monthly | Individual service | 1 hour | | Full DR simulation | Annually | Complete failover | 4-8 hours | | Backup restore | Monthly | Random data store | 1 hour | ### 7. Cost Model Break down DR spending by category: - Infrastructure (standby capacity, cross-region replication) - Tooling (monitoring, alerting, backup software) - Testing (engineer hours, cloud costs during drills) - Training (onboarding, annual refreshers) Benchmark: DR typically costs 15-25% of primary infrastructure spend. Companies without DR plans face average downtime costs of $5,600/minute. ## Compliance Mapping Map each DR control to framework requirements: - **SOC 2 CC7.4/CC7.5**: Incident response and recovery - **ISO 27001 A.17**: Information security continuity - **HIPAA §164.308(a)(7)**: Contingency plan - **PCI DSS 12.10**: Incident response plan ## Rules - Always include specific commands and CLI examples (not just "failover the database") - Include estimated time for each step in runbooks - Flag single points of failure explicitly - Default to the 3-2-1 backup rule: 3 copies, 2 media types, 1 offsite - Include cost estimates in USD for each recommendation - Never assume unlimited budget — tier recommendations by cost ## Next Steps Want to go deeper? Check out the full [AI Context Packs](https://afrexai-cto.github.io/context-packs/) — pre-built knowledge bases for SaaS, Healthcare, Legal, Manufacturing, and more. $47 per industry pack, or grab all 10 for $197. Calculate what manual DR planning costs your team: [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) Set up your agent stack in 5 minutes: [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)